Interview Guide for

Growth Product Manager

This comprehensive guide provides a structured framework for interviewing Growth Product Manager candidates at your organization. With a clear sequence of interviews, behavioral questions, and detailed scorecards, this guide will help you identify candidates who can drive user acquisition, activation, retention, and revenue through data-driven growth initiatives. Each section is designed to evaluate different aspects of a candidate's experience, skills, and cultural fit.

How to Use This Guide

This guide offers a roadmap for conducting effective Growth Product Manager interviews, but should be tailored to your specific organizational needs and culture. To get the most value:

  • Customize the questions and evaluation criteria to align with your company's specific growth challenges and objectives
  • Share this guide with everyone on the interview team to ensure consistency across candidate evaluations
  • Use the structured approach to compare candidates objectively against the same criteria
  • Leverage the follow-up questions to dig deeper into candidates' experiences and thought processes
  • Complete scorecards independently before discussing candidates as a team to avoid group influence
  • Reference our blog post on creating structured interviews for additional guidance
  • Visit our AI interview question generator for additional growth-focused behavioral questions

Job Description

Growth Product Manager

About [Company]

[Company] is a [industry]-focused technology company based in [location]. We're dedicated to creating innovative solutions that help our customers achieve their goals through data-driven approaches and exceptional user experiences.

The Role

As a Growth Product Manager at [Company], you'll be at the forefront of driving user acquisition, activation, retention, and revenue through data-informed product decisions. Your work will directly impact our company's growth trajectory by identifying opportunities, running experiments, and implementing strategies that expand our user base and increase engagement.

Key Responsibilities

  • Identify and prioritize growth opportunities across the user journey
  • Design, execute, and analyze A/B tests and growth experiments
  • Collaborate with cross-functional teams (engineering, design, marketing, sales) to implement growth initiatives
  • Develop and track key growth metrics and KPIs
  • Create data-driven hypotheses and validate them through rapid testing
  • Optimize user onboarding, activation, and retention flows
  • Analyze user behavior data to uncover insights and growth opportunities
  • Present experiment results and growth strategies to leadership and stakeholders
  • Stay current on growth best practices and emerging trends

What We're Looking For

  • 3+ years of experience in product management with a focus on growth or related fields
  • Strong analytical skills with experience using data to drive decision-making
  • Experience designing, running, and analyzing A/B tests and growth experiments
  • Proficiency with product analytics tools (Amplitude, Mixpanel, Google Analytics, etc.)
  • Understanding of user acquisition channels and conversion optimization techniques
  • Excellent communication and collaboration skills
  • Ability to work in a fast-paced environment and manage multiple priorities
  • Passion for creating exceptional user experiences that drive growth
  • Bachelor's degree in Business, Computer Science, Engineering, or related field (or equivalent experience)

Why Join [Company]

At [Company], we're building something special - a place where ambitious professionals can grow their careers while making a meaningful impact. We offer:

  • Competitive compensation package of [pay range]
  • Comprehensive health, dental, and vision benefits
  • Flexible work arrangements
  • Professional development budget
  • Equity options
  • Paid parental leave
  • Collaborative, fast-paced environment with opportunities to lead high-impact initiatives

Hiring Process

We've designed our interview process to be thorough yet efficient, giving you the opportunity to showcase your skills while learning more about our team and company:

  1. Initial Screening (30 minutes): A conversation with our recruiter to discuss your background, experience, and alignment with the role.
  2. Technical Assessment (60 minutes): An in-depth discussion about your growth approach, experience with experiments, and analytical thinking with a growth team member.
  3. Growth Challenge (60-90 minutes): A practical exercise where you'll analyze a growth problem and present your approach and solution.
  4. Team Interview (60-90 minutes): Meet with cross-functional stakeholders to discuss collaboration, product thinking, and cultural fit.
  5. Leadership Interview (60 minutes): Connect with a senior leader to discuss strategy, vision, and your potential impact at [Company].

Ideal Candidate Profile (Internal)

Role Overview

The Growth Product Manager will be responsible for identifying and executing on opportunities that drive user acquisition, activation, retention, and revenue. This role requires a combination of analytical rigor, product sense, and execution excellence to run experiments and implement growth strategies. The ideal candidate will be data-driven, user-focused, and able to collaborate effectively with cross-functional teams.

Essential Behavioral Competencies

Data-Driven Decision Making: Ability to use quantitative and qualitative data to inform product decisions, focusing on measurable outcomes and continuous testing to validate hypotheses.

Experimentation Mindset: Comfortable with rapid testing, learning from failures, and iterating quickly based on results. Demonstrates a systematic approach to growth through continuous experimentation.

Strategic Thinking: Ability to identify high-leverage growth opportunities, develop coherent strategies, and connect tactical execution to broader business objectives and user needs.

Collaborative Leadership: Effectively works across engineering, design, marketing, and sales teams to implement growth initiatives, building consensus and driving projects forward without direct authority.

User Empathy: Deep understanding of user needs, behaviors, and pain points, with the ability to translate insights into growth opportunities that create value for both users and the business.

Desired Outcomes

  • Increase user acquisition by [X%] through optimization of landing pages, referral programs, and conversion funnels within the first year
  • Improve user activation rates from [X%] to [Y%] by enhancing the onboarding experience and first-time user journey
  • Reduce user churn by [X%] by identifying retention drivers and implementing targeted engagement strategies
  • Drive a [X%] increase in revenue through feature adoption, upsell opportunities, and monetization optimizations
  • Establish a culture of experimentation within the product team, running at least [X] growth experiments per month with clear documentation of learnings

Ideal Candidate Traits

  • Growth-oriented mindset: Relentlessly focused on improving key metrics through continuous experimentation and learning
  • Analytical prowess: Comfortable working with large datasets, identifying patterns, and deriving actionable insights
  • Technical aptitude: Able to understand technical constraints and opportunities, and communicate effectively with engineering teams
  • Entrepreneurial spirit: Self-motivated with a bias toward action and willingness to take calculated risks
  • Excellent communication: Skilled at presenting complex data analyses in clear, compelling ways to diverse stakeholders
  • Balance of creativity and analytical thinking: Combines creative problem-solving with rigorous analysis
  • Adaptability: Thrives in fast-paced environments and adjusts strategies based on changing market conditions
  • User-centered approach: Maintains focus on user needs while pursuing business objectives
  • Cross-functional collaboration: Experience working effectively with teams across disciplines
  • Learning agility: Stays current on growth best practices and quickly adapts to new tools and techniques

Screening Interview

Directions for the Interviewer

This initial interview aims to identify candidates with strong potential as Growth Product Managers. Focus on evaluating their experience with growth strategies, understanding of key metrics, analytical thinking, and overall fit for the role. The goal is to determine whether the candidate has the fundamental skills and mindset needed for success in this growth-focused position.

Keep the conversation conversational while ensuring you cover all key areas. Listen for specific examples from the candidate's experience rather than theoretical answers. Pay particular attention to their approach to data analysis, experimentation, and cross-functional collaboration. Allow 5-10 minutes at the end for the candidate to ask questions.

Directions to Share with Candidate

"During this conversation, I'd like to learn more about your background in growth product management, your approach to experimentation and analysis, and your experience working with cross-functional teams. I'll ask you about specific examples from your work history, so feel free to share detailed experiences. We'll have time at the end for any questions you have about the role or [Company]."

Interview Questions

Tell me about your background and what interests you about this Growth Product Manager role at [Company].

Areas to Cover

  • Career progression and relevant experience in growth, product management, or related fields
  • Understanding of [Company]'s business and products
  • Specific aspects of the role that appeal to the candidate
  • How this position aligns with their career goals

Possible Follow-up Questions

  • What specifically about growth product management excites you?
  • How did you transition into growth from your previous roles?
  • What research have you done about our company and products?

Walk me through a successful growth experiment you designed and ran. What was the hypothesis, how did you execute it, and what were the results?

Areas to Cover

  • Process for identifying growth opportunities and forming hypotheses
  • Methodology for designing and implementing experiments
  • Metrics used to measure success
  • Analysis of results and actions taken based on findings
  • Cross-functional collaboration involved

Possible Follow-up Questions

  • What tools did you use to analyze the results?
  • What challenges did you face during implementation?
  • How did you communicate the results to stakeholders?
  • What would you do differently if you could run the experiment again?

How do you prioritize different growth opportunities? Please share a specific example.

Areas to Cover

  • Framework for evaluating and prioritizing growth initiatives
  • Balancing short-term wins vs. long-term impact
  • Consideration of resource constraints and technical feasibility
  • Alignment with broader business objectives
  • Stakeholder management in prioritization decisions

Possible Follow-up Questions

  • How do you handle competing priorities from different stakeholders?
  • What data points do you consider most critical when prioritizing?
  • How do you balance quick wins versus more substantial growth initiatives?

What metrics do you typically focus on when measuring growth, and how do you determine which are most important?

Areas to Cover

  • Understanding of key growth metrics (acquisition, activation, retention, revenue, referral)
  • Ability to connect metrics to business objectives
  • Experience setting up measurement frameworks
  • Approach to identifying leading vs. lagging indicators
  • Methods for tracking and analyzing metrics

Possible Follow-up Questions

  • How do you distinguish between vanity metrics and actionable metrics?
  • Can you give an example of when you had to create a new metric to track growth?
  • How do you communicate metrics and progress to non-technical stakeholders?

Describe how you've collaborated with engineering, design, and marketing teams to implement growth initiatives.

Areas to Cover

  • Experience working cross-functionally without direct authority
  • Communication style and approaches to building alignment
  • Methods for managing dependencies and timelines
  • Handling conflicts or competing priorities between teams
  • Examples of successful cross-team collaboration

Possible Follow-up Questions

  • How do you build buy-in from technical teams for growth initiatives?
  • What challenges have you faced when working across functions, and how did you overcome them?
  • How do you ensure all teams have a shared understanding of growth objectives?

What tools and methodologies do you use for analyzing user behavior and identifying growth opportunities?

Areas to Cover

  • Familiarity with analytics platforms (Amplitude, Mixpanel, Google Analytics, etc.)
  • Experience with A/B testing tools and methodologies
  • Approach to qualitative research (user interviews, surveys, etc.)
  • Data visualization and communication techniques
  • Process for turning insights into actionable growth strategies

Possible Follow-up Questions

  • How do you handle situations with limited or incomplete data?
  • What's your approach to setting up experiments with statistical significance?
  • How do you balance quantitative and qualitative insights?

Interview Scorecard

Data-Driven Decision Making

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Relies primarily on intuition with limited use of data
  • 2: Uses data reactively but lacks structured approach to analysis
  • 3: Consistently bases decisions on data analysis and uses appropriate metrics
  • 4: Demonstrates sophisticated data analysis skills and creates frameworks for systematic decision-making

Experimentation Mindset

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Limited experience with experimentation or resistant to testing
  • 2: Has conducted basic experiments but lacks rigor in methodology
  • 3: Shows clear understanding of experimentation principles and has run multiple successful experiments
  • 4: Demonstrates advanced experimentation techniques with sophisticated analysis of results

Growth Strategy Experience

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Limited understanding of growth frameworks and strategies
  • 2: Has implemented basic growth tactics but lacks comprehensive strategy
  • 3: Has developed and executed effective growth strategies with measurable results
  • 4: Demonstrates innovative growth approaches with exceptional results and continuous optimization

Cross-Functional Collaboration

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Struggles to work effectively with other teams
  • 2: Works adequately with other teams but encounters frequent friction
  • 3: Effectively collaborates across functions to achieve growth objectives
  • 4: Excels at building strong cross-functional relationships that accelerate growth initiatives

Outcome: Increase user acquisition by [X%]

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Unlikely to achieve user acquisition targets
  • 2: Likely to make some progress but fall short of target
  • 3: Likely to achieve user acquisition target
  • 4: Likely to exceed user acquisition target substantially

Outcome: Improve user activation rates from [X%] to [Y%]

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Unlikely to improve activation rates significantly
  • 2: Likely to make modest improvements but fall short of target
  • 3: Likely to achieve activation rate target
  • 4: Likely to exceed activation target with innovative approaches

Outcome: Reduce user churn by [X%]

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Unlikely to impact churn reduction
  • 2: Likely to achieve modest churn reduction but below target
  • 3: Likely to achieve churn reduction target
  • 4: Likely to exceed churn reduction target with comprehensive retention strategy

Outcome: Drive a [X%] increase in revenue

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Unlikely to impact revenue growth significantly
  • 2: Likely to achieve some revenue growth but below target
  • 3: Likely to achieve revenue growth target
  • 4: Likely to exceed revenue growth target through multiple optimization strategies

Outcome: Establish a culture of experimentation

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Unlikely to foster experimentation culture
  • 2: May run experiments but unlikely to establish broader culture
  • 3: Likely to establish effective experimentation practices and culture
  • 4: Likely to create a sophisticated experimentation system with broad team adoption

Overall Recommendation

  • 1: Strong No Hire
  • 2: No Hire
  • 3: Hire
  • 4: Strong Hire

Technical Assessment

Directions for the Interviewer

This technical assessment aims to evaluate the candidate's depth of growth product management knowledge, analytical capabilities, and problem-solving approach. Focus on their understanding of growth frameworks, experiment design, data analysis skills, and strategic thinking. The interview should feel like a collaborative working session where the candidate can demonstrate how they approach growth challenges.

Ask probing follow-up questions to understand their decision-making process and analytical rigor. Pay special attention to how they formulate hypotheses, design experiments, analyze results, and translate insights into action. Look for candidates who can balance creativity with data-driven decision making.

Directions to Share with Candidate

"In this session, we'll dive deeper into your technical expertise as a Growth Product Manager. I'll ask you about specific growth experiments you've designed, how you've analyzed user behavior data, and your approach to growth strategy. We'll also discuss a case study related to our business. Feel free to ask clarifying questions, and approach this as a collaborative discussion where we're working through growth challenges together."

Interview Questions

Deep dive into a complex growth experiment you've managed. Walk me through the entire process from hypothesis formation to results analysis and implementation.

Areas to Cover

  • Problem identification and opportunity sizing
  • Hypothesis development and expected impact
  • Experimental design and control mechanisms
  • Implementation challenges and how they were addressed
  • Data collection and analysis methodology
  • Statistical validity of results
  • Decision-making based on experiment outcomes
  • Implementation of findings and subsequent iterations

Possible Follow-up Questions

  • How did you determine the sample size needed for statistical significance?
  • What unexpected learnings came from this experiment?
  • How did you handle conflicting data points or ambiguous results?
  • How did you convince stakeholders to proceed with the experiment?

Tell me about your approach to user funnel optimization. Share a specific example where you identified and resolved a conversion bottleneck.

Areas to Cover

  • Methods for analyzing user funnels and identifying friction points
  • Tools and techniques used for funnel analysis
  • Quantitative and qualitative approaches to diagnosing issues
  • Solutions implemented to address conversion bottlenecks
  • Results and impact on key metrics
  • Cross-team collaboration required for implementation
  • Lessons learned and how they informed future optimizations

Possible Follow-up Questions

  • How did you measure the impact of your changes?
  • What specific user insights were most valuable in diagnosing the issue?
  • How did you prioritize among multiple potential bottlenecks?
  • What follow-up experiments did you run based on your findings?

Describe how you would build and implement a user retention strategy for [Company]'s product. What metrics would you track and what initiatives would you prioritize?

Areas to Cover

  • Understanding of [Company]'s product and user base
  • Framework for analyzing retention and identifying churn factors
  • Segmentation approach for targeting retention efforts
  • Specific retention tactics and their expected impact
  • Metrics and KPIs for measuring retention effectiveness
  • Prioritization framework for retention initiatives
  • Timeline and resource considerations
  • Testing and iteration methodology

Possible Follow-up Questions

  • How would you balance focusing on reducing churn versus increasing engagement?
  • What early signals might indicate future churn risk?
  • How would you determine which user segments to prioritize for retention efforts?
  • What are the most common mistakes companies make when addressing retention?

How would you use [Mixpanel/Amplitude/other analytics tool] to identify new growth opportunities? Walk me through your approach.

Areas to Cover

  • Proficiency with analytics tools and methodologies
  • Process for exploratory data analysis
  • Key reports and metrics they would examine
  • User segmentation and cohort analysis approach
  • Techniques for identifying patterns and anomalies
  • Methods for forming and validating growth hypotheses
  • Translation of data insights into actionable experiments
  • Data visualization and communication strategies

Possible Follow-up Questions

  • How do you ensure you're looking at the right metrics?
  • What custom events or properties would you want to track?
  • How do you handle data quality issues or incomplete data?
  • How do you prioritize which insights to act on first?

Case Study: [Company]'s [Product/Service] is experiencing a drop in [specific metric, e.g., user sign-ups]. How would you diagnose this issue and what steps would you take to address it?

Areas to Cover

  • Structured approach to problem diagnosis
  • Questions they would ask to understand the context
  • Data they would gather and analyze
  • Potential causes they would investigate
  • Hypothesis formation and prioritization
  • Proposed experiments or solutions
  • Success metrics for proposed solutions
  • Timeline and resource requirements for implementation

Possible Follow-up Questions

  • How would you distinguish between correlation and causation in your analysis?
  • What stakeholders would you involve in addressing this issue?
  • How would you communicate the problem and your approach to leadership?
  • What immediate actions might you take while conducting deeper analysis?

Explain the pirate metrics framework (AARRR) and how you've used it or similar frameworks to drive growth in previous roles.

Areas to Cover

  • Understanding of acquisition, activation, retention, referral, and revenue
  • Application of the framework to specific products or services
  • How they've measured each stage of the funnel
  • Strategies implemented to improve metrics at each stage
  • Integration of the framework into the overall growth strategy
  • Adaptations or customizations made to the framework
  • Results achieved through the framework's application
  • Alternative frameworks they've used and their effectiveness

Possible Follow-up Questions

  • Which stage of the AARRR framework do you find most challenging to optimize and why?
  • How do you balance efforts across the different stages?
  • How has your approach to using this framework evolved over time?
  • Which metrics do you find most predictive of long-term success?

Interview Scorecard

Analytical Capability

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Basic analytical skills with limited application to growth problems
  • 2: Solid analytical foundations but lacks advanced techniques
  • 3: Strong analytical skills with effective application to growth challenges
  • 4: Exceptional analytical capabilities with sophisticated approaches to complex problems

Experiment Design

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Basic understanding of experiments with methodological weaknesses
  • 2: Can design straightforward experiments but lacks statistical rigor
  • 3: Designs robust experiments with appropriate controls and measurement
  • 4: Creates sophisticated experimental designs with advanced statistical considerations

Growth Strategy

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Tactical approach with limited strategic thinking
  • 2: Understands growth frameworks but application lacks depth
  • 3: Develops coherent growth strategies with clear rationale
  • 4: Creates innovative, comprehensive growth strategies with multiple reinforcing elements

Problem-Solving Approach

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Unstructured approach to problem-solving
  • 2: Uses basic frameworks but may miss important factors
  • 3: Structured, methodical approach to diagnosing and solving problems
  • 4: Exceptional problem-solving with creative yet rigorous approaches

Product and User Knowledge

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Limited understanding of product dynamics and user motivation
  • 2: Basic grasp of product mechanics but lacks deep user insights
  • 3: Strong understanding of product dynamics and user behavior
  • 4: Exceptional product intuition with nuanced understanding of user psychology

Outcome: Increase user acquisition by [X%]

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Unlikely to achieve user acquisition targets
  • 2: Likely to make some progress but fall short of target
  • 3: Likely to achieve user acquisition target
  • 4: Likely to exceed user acquisition target substantially

Outcome: Improve user activation rates from [X%] to [Y%]

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Unlikely to improve activation rates significantly
  • 2: Likely to make modest improvements but fall short of target
  • 3: Likely to achieve activation rate target
  • 4: Likely to exceed activation target with innovative approaches

Outcome: Reduce user churn by [X%]

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Unlikely to impact churn reduction
  • 2: Likely to achieve modest churn reduction but below target
  • 3: Likely to achieve churn reduction target
  • 4: Likely to exceed churn reduction target with comprehensive retention strategy

Outcome: Drive a [X%] increase in revenue

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Unlikely to impact revenue growth significantly
  • 2: Likely to achieve some revenue growth but below target
  • 3: Likely to achieve revenue growth target
  • 4: Likely to exceed revenue growth target through multiple optimization strategies

Outcome: Establish a culture of experimentation

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Unlikely to foster experimentation culture
  • 2: May run experiments but unlikely to establish broader culture
  • 3: Likely to establish effective experimentation practices and culture
  • 4: Likely to create a sophisticated experimentation system with broad team adoption

Overall Recommendation

  • 1: Strong No Hire
  • 2: No Hire
  • 3: Hire
  • 4: Strong Hire

Growth Challenge

Directions for the Interviewer

This interview is designed to assess the candidate's ability to apply their growth expertise to a practical challenge. You'll present them with a growth problem and observe how they approach analyzing it, developing strategies, and presenting recommendations. Look for their ability to think critically, prioritize effectively, and communicate their ideas clearly. This should feel like a collaborative working session where the candidate can demonstrate their problem-solving process.

Prior to the interview, send the candidate a brief overview of the growth challenge they'll be discussing to allow them to prepare. This could be related to user acquisition, activation, retention, or monetization challenges relevant to your business.

Directions to Share with Candidate

"In this session, we'll work through a growth challenge similar to what you might encounter in this role. I'll present a scenario, and I'd like you to walk me through how you would approach analyzing the problem, developing a strategy, and implementing solutions. Feel free to ask clarifying questions as needed. We're looking to understand your thought process and problem-solving approach rather than expecting a perfect answer with limited information."

Growth Challenge Description

(Share this with the candidate 24-48 hours before the interview)

"[Company]'s [Product/Service] has been experiencing a plateau in user growth over the past quarter. After initial strong growth, new user acquisition has slowed, and user engagement metrics show that only 35% of new users are becoming active users (defined as performing [key action] at least [frequency]). Your task is to develop a growth strategy to increase both new user acquisition and improve the activation rate of new users.

During the interview, be prepared to:

  1. Ask clarifying questions about the business and current situation
  2. Share how you would analyze the problem
  3. Present your approach to identifying growth opportunities
  4. Outline 2-3 specific initiatives you would prioritize
  5. Explain how you would measure success

Feel free to make reasonable assumptions, but be explicit about what you're assuming. We're most interested in your structured approach to solving growth challenges."

Interview Questions

What clarifying questions do you have about the business context and the growth challenge we're facing?

Areas to Cover

  • Depth and relevance of questions asked
  • How they structure their information gathering
  • Understanding of key business metrics and growth levers
  • Ability to identify critical missing information
  • Assumptions they make and how reasonable they are

Possible Follow-up Questions

  • Given that information, what additional data would be helpful for your analysis?
  • How would your approach differ if [alternative scenario]?
  • What do you think are the most important metrics to understand in this situation?

How would you analyze this growth problem? Walk me through your diagnostic approach.

Areas to Cover

  • Structured analysis methodology
  • Data sources and metrics they would examine
  • User segmentation and cohort analysis approach
  • Quantitative and qualitative research methods
  • Hypothesis formation process
  • Prioritization of potential causes
  • Differentiation between symptoms and root causes
  • Timeline for conducting the analysis

Possible Follow-up Questions

  • How would you validate your hypotheses about the causes?
  • What user research methods would be most valuable here?
  • How would you distinguish between correlation and causation?
  • How would you involve other teams in your analysis?

Based on your analysis, what growth opportunities would you pursue and how would you prioritize them?

Areas to Cover

  • Creativity and breadth of potential solutions
  • Strategic versus tactical approaches
  • Prioritization framework and criteria
  • Resource considerations and feasibility assessment
  • Expected impact and effort estimation
  • Balancing short-term wins and long-term growth
  • Connection between identified problems and proposed solutions
  • Risk assessment and mitigation strategies

Possible Follow-up Questions

  • How did you determine the relative priority of these opportunities?
  • What dependencies or prerequisites exist for your proposed solutions?
  • How would you handle stakeholder disagreement about priorities?
  • What quick wins might you pursue while working on larger initiatives?

Choose one of your high-priority initiatives and walk me through your implementation plan.

Areas to Cover

  • Tactical execution steps
  • Resource requirements and team responsibilities
  • Timeline and milestones
  • Success metrics and measurement plan
  • Experimental approach or phased rollout strategy
  • Stakeholder management and communication
  • Potential obstacles and contingency plans
  • Follow-up and iteration process

Possible Follow-up Questions

  • How would you test this initiative before full implementation?
  • Which teams would need to be involved and how would you secure their buy-in?
  • How would you know if this initiative was successful?
  • What would be your plan if initial results don't meet expectations?

How would you measure the success of your overall growth strategy? What metrics would you track and what targets would you set?

Areas to Cover

  • Key performance indicators and why they matter
  • Leading versus lagging indicators
  • Measurement frequency and reporting approach
  • Target-setting methodology
  • Attribution considerations
  • Balancing growth metrics with other business objectives
  • Long-term versus short-term measurement
  • Approach to iterating based on results

Possible Follow-up Questions

  • How would you attribute changes in metrics to specific initiatives?
  • How would you handle conflicting or ambiguous results?
  • What would cause you to reconsider your overall strategy?
  • How would you communicate progress to various stakeholders?

Interview Scorecard

Problem Analysis

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Superficial analysis without structured approach
  • 2: Basic analysis identifying obvious issues
  • 3: Thorough, methodical analysis identifying key growth obstacles
  • 4: Exceptional analysis with innovative insights and systematic approach

Strategic Thinking

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Tactical focus without coherent strategy
  • 2: Basic strategic framework but lacks depth or integration
  • 3: Clear, well-reasoned strategy with strong alignment to business goals
  • 4: Innovative, comprehensive strategy with multiple reinforcing elements

Solution Development

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Generic solutions without clear connection to problems
  • 2: Reasonable solutions but limited in creativity or impact
  • 3: Targeted, effective solutions directly addressing key issues
  • 4: Exceptional solutions showing creativity, practicality, and high potential impact

Execution Planning

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Vague implementation approach lacking specificity
  • 2: Basic execution plan with some gaps or unrealistic elements
  • 3: Comprehensive, practical implementation plan with clear steps
  • 4: Exceptional execution strategy with thorough consideration of resources, risks, and dependencies

Measurement Approach

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Limited measurement plan focused on basic metrics
  • 2: Reasonable measurement approach but lacks sophistication
  • 3: Comprehensive measurement framework with appropriate metrics and targets
  • 4: Sophisticated measurement system with leading indicators and nuanced success criteria

Outcome: Increase user acquisition by [X%]

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Unlikely to achieve user acquisition targets
  • 2: Likely to make some progress but fall short of target
  • 3: Likely to achieve user acquisition target
  • 4: Likely to exceed user acquisition target substantially

Outcome: Improve user activation rates from [X%] to [Y%]

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Unlikely to improve activation rates significantly
  • 2: Likely to make modest improvements but fall short of target
  • 3: Likely to achieve activation rate target
  • 4: Likely to exceed activation target with innovative approaches

Outcome: Reduce user churn by [X%]

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Unlikely to impact churn reduction
  • 2: Likely to achieve modest churn reduction but below target
  • 3: Likely to achieve churn reduction target
  • 4: Likely to exceed churn reduction target with comprehensive retention strategy

Outcome: Drive a [X%] increase in revenue

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Unlikely to impact revenue growth significantly
  • 2: Likely to achieve some revenue growth but below target
  • 3: Likely to achieve revenue growth target
  • 4: Likely to exceed revenue growth target through multiple optimization strategies

Outcome: Establish a culture of experimentation

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Unlikely to foster experimentation culture
  • 2: May run experiments but unlikely to establish broader culture
  • 3: Likely to establish effective experimentation practices and culture
  • 4: Likely to create a sophisticated experimentation system with broad team adoption

Overall Recommendation

  • 1: Strong No Hire
  • 2: No Hire
  • 3: Hire
  • 4: Strong Hire

Team Interview

Directions for the Interviewer

This interview focuses on assessing the candidate's collaboration skills, cultural fit, and ability to work effectively with various teams. As cross-functional collaboration is critical for a Growth Product Manager, this interview should involve stakeholders from engineering, design, marketing, and other relevant departments. The goal is to evaluate how the candidate builds relationships, communicates ideas, and handles different perspectives.

Each interviewer should focus on their specific area of interaction with the Growth Product Manager role while evaluating the candidate's overall collaborative approach. Pay attention to how the candidate adapts their communication style to different stakeholders, how they handle potential conflicts, and their ability to build consensus around growth initiatives.

Directions to Share with Candidate

"In this panel interview, you'll meet representatives from different teams who work closely with the Growth Product Manager. We'll discuss how you collaborate across functions, communicate complex ideas, and build alignment around growth initiatives. We're interested in understanding your approach to cross-functional work and how you've successfully partnered with diverse teams in the past."

Interview Questions

Tell us about a time when you had to influence stakeholders from different teams to support a growth initiative without having direct authority. (Collaborative Leadership)

Areas to Cover

  • Specific growth initiative and cross-functional dependencies
  • Strategy for building buy-in and alignment
  • Communication approaches for different stakeholders
  • Obstacles encountered and how they were overcome
  • Results achieved through collaboration
  • How they handled disagreements or resistance
  • Lessons learned about effective influence

Possible Follow-up Questions

  • How did you adapt your approach for different stakeholders?
  • What was the most challenging aspect of gaining alignment?
  • How did you balance different priorities and constraints?
  • What would you do differently if you faced a similar situation now?

Describe a situation where you worked closely with engineering to implement and evaluate a growth experiment. How did you manage the process? (Cross-Functional Collaboration)

Areas to Cover

  • Technical complexity of the experiment
  • Approach to specification and requirements
  • Communication with engineering during implementation
  • How technical constraints were addressed
  • Testing and quality assurance process
  • Data collection and experiment evaluation
  • Working relationship with the engineering team
  • Balance of speed and quality considerations

Possible Follow-up Questions

  • How did you prioritize this experiment against other engineering priorities?
  • What technical challenges arose and how did you address them?
  • How did you communicate experiment results back to the engineering team?
  • How did you ensure the experiment was implemented correctly?

Share an example of how you've collaborated with design teams to optimize user experience for growth. What was your process? (User Empathy)

Areas to Cover

  • User problem being addressed and its impact on growth
  • Collaboration approach with designers
  • Balance of growth objectives and user experience quality
  • Data and insights shared with the design team
  • Iteration process and feedback incorporation
  • Testing and validation methods
  • Results achieved through the collaboration
  • Learnings about effective design partnership

Possible Follow-up Questions

  • How did you resolve situations where growth goals seemed to conflict with user experience?
  • What user research methods did you employ?
  • How did you measure the impact of design changes on growth metrics?
  • How did you incorporate user feedback into the process?

Tell us about a time when you worked with the marketing team to improve user acquisition or activation. How did you align product growth efforts with marketing initiatives? (Strategic Thinking)

Areas to Cover

  • Specific acquisition or activation challenge addressed
  • Strategy for aligning product and marketing efforts
  • Data sharing and measurement approach
  • Role definition and responsibility allocation
  • Communication and coordination methods
  • Results achieved through the collaboration
  • Challenges in alignment and how they were overcome
  • Insights gained about product-marketing partnership

Possible Follow-up Questions

  • How did you measure the impact of combined product and marketing efforts?
  • What conflicts arose between product and marketing perspectives?
  • How did you ensure consistent messaging across the user journey?
  • What would you improve about the collaboration process?

Describe a situation where you needed to make a data-driven decision that required input from multiple teams. How did you gather and synthesize different perspectives? (Data-Driven Decision Making)

Areas to Cover

  • Decision context and importance to growth objectives
  • Approach to data collection and analysis
  • Cross-functional input gathering process
  • Methods for reconciling different interpretations of data
  • Decision-making framework and criteria
  • Communication of the decision and rationale
  • Implementation and follow-up process
  • Impact of the decision on growth metrics

Possible Follow-up Questions

  • How did you handle conflicting interpretations of the data?
  • What challenges did you face in getting quality input from different teams?
  • How did you balance quantitative data with qualitative insights?
  • How did you communicate the decision to stakeholders?

How do you approach building a culture of experimentation across different teams? Share an example of how you've fostered this mindset. (Experimentation Mindset)

Areas to Cover

  • Vision for experimentation culture
  • Methods for encouraging experimentation across teams
  • Training and education approaches
  • Process implementation and documentation
  • How failures were handled and discussed
  • Celebration of successful experiments
  • Measurement of experimentation culture progress
  • Obstacles encountered and how they were overcome

Possible Follow-up Questions

  • How did you handle resistance to experimentation?
  • What systems or tools did you implement to support experimentation?
  • How did you ensure experiments were rigorous and meaningful?
  • How did you share learnings across the organization?

Interview Scorecard

Collaborative Leadership

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Struggles to influence without authority or build consensus
  • 2: Can collaborate effectively but with limited success in complex situations
  • 3: Effectively builds alignment and leads cross-functional efforts
  • 4: Exceptional ability to influence, align diverse stakeholders, and drive collaborative success

Cross-Functional Communication

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Communication style lacks adaptability across different audiences
  • 2: Communicates adequately but sometimes misses tailoring to audience needs
  • 3: Effectively adapts communication style to different stakeholders
  • 4: Outstanding communicator who excels at translating complex concepts for diverse audiences

User Empathy

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Limited understanding of user needs and motivations
  • 2: Basic understanding of users but gaps in translating to growth opportunities
  • 3: Strong user empathy with clear connection to growth strategies
  • 4: Exceptional user insight that drives innovative and effective growth approaches

Conflict Resolution

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Avoids conflict or struggles to find productive resolutions
  • 2: Can navigate basic conflicts but challenged by complex stakeholder disagreements
  • 3: Effectively addresses conflicts and finds constructive solutions
  • 4: Masterfully navigates complex conflicts and turns them into opportunities for alignment

Cultural Fit

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Significant misalignment with company values or working style
  • 2: Generally aligned but some areas of potential friction
  • 3: Strong alignment with company culture and values
  • 4: Exceptional cultural fit with potential to enhance company culture

Outcome: Increase user acquisition by [X%]

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Unlikely to achieve user acquisition targets
  • 2: Likely to make some progress but fall short of target
  • 3: Likely to achieve user acquisition target
  • 4: Likely to exceed user acquisition target substantially

Outcome: Improve user activation rates from [X%] to [Y%]

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Unlikely to improve activation rates significantly
  • 2: Likely to make modest improvements but fall short of target
  • 3: Likely to achieve activation rate target
  • 4: Likely to exceed activation target with innovative approaches

Outcome: Reduce user churn by [X%]

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Unlikely to impact churn reduction
  • 2: Likely to achieve modest churn reduction but below target
  • 3: Likely to achieve churn reduction target
  • 4: Likely to exceed churn reduction target with comprehensive retention strategy

Outcome: Drive a [X%] increase in revenue

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Unlikely to impact revenue growth significantly
  • 2: Likely to achieve some revenue growth but below target
  • 3: Likely to achieve revenue growth target
  • 4: Likely to exceed revenue growth target through multiple optimization strategies

Outcome: Establish a culture of experimentation

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Unlikely to foster experimentation culture
  • 2: May run experiments but unlikely to establish broader culture
  • 3: Likely to establish effective experimentation practices and culture
  • 4: Likely to create a sophisticated experimentation system with broad team adoption

Overall Recommendation

  • 1: Strong No Hire
  • 2: No Hire
  • 3: Hire
  • 4: Strong Hire

Leadership Interview

Directions for the Interviewer

This interview, typically conducted by a senior leader such as the VP of Product, VP of Growth, or CEO, aims to assess the candidate's strategic thinking, leadership capabilities, and alignment with the company's vision and values. Focus on evaluating their growth philosophy, long-term thinking, ability to drive organizational change, and potential cultural impact. This interview should feel more conversational while still maintaining structure to cover key areas.

Pay particular attention to how the candidate thinks about growth in the broader business context, their ability to balance short-term gains with long-term sustainable growth, and how they align growth initiatives with company strategy and values. Look for evidence of leadership qualities such as vision, resilience, adaptability, and the ability to navigate ambiguity.

Directions to Share with Candidate

"In this conversation, we'll explore your strategic thinking, leadership approach, and vision for growth. I'm interested in understanding how you think about growth in the broader business context, how you align growth initiatives with company strategy, and how you'd approach building and leading a growth culture at [Company]. This will be a two-way dialogue, so please feel free to ask questions throughout our discussion."

Interview Questions

What's your philosophy on growth and how it should be approached within a product organization? (Strategic Thinking)

Areas to Cover

  • Overall growth framework and principles
  • Balance between short-term tactics and long-term strategy
  • Perspective on sustainable vs. exploitative growth
  • Integration of growth with product development
  • Organizational structure considerations
  • Measurement and success definition
  • Balance of qualitative and quantitative approaches
  • Evolution of their thinking over time

Possible Follow-up Questions

  • How has your philosophy evolved throughout your career?
  • How do you balance growth objectives with other business priorities?
  • What common growth mistakes do you see organizations make?
  • How do you determine when to pivot from a growth strategy that isn't working?

Tell me about a time when you had to make a strategic decision about growth with limited information or in an ambiguous situation. How did you approach it? (Dealing with Ambiguity)

Areas to Cover

  • Context of the ambiguous situation
  • Framework used for decision-making
  • Risk assessment and mitigation approach
  • Information gathering despite limitations
  • Stakeholder management during uncertainty
  • Decision execution and communication
  • Outcomes and lessons learned
  • Adaptability as new information emerged

Possible Follow-up Questions

  • What principles guided your decision-making process?
  • How did you communicate the uncertainty to stakeholders?
  • What contingency plans did you put in place?
  • How did you know when to commit to a direction versus gathering more data?

How do you think about aligning growth initiatives with broader company strategy and values? Share an example where you've done this successfully. (Strategic Alignment)

Areas to Cover

  • Understanding of strategic alignment importance
  • Process for connecting growth work to company objectives
  • Example of successful alignment
  • Handling tensions between growth goals and other priorities
  • Communication approach with leadership
  • Metrics used to demonstrate strategic contribution
  • Challenges encountered and how they were overcome
  • Long-term impact of the aligned initiative

Possible Follow-up Questions

  • How did you handle situations where growth objectives seemed misaligned with company direction?
  • How did you communicate the strategic value of growth initiatives to leadership?
  • What frameworks do you use to ensure alignment?
  • How do you balance aggressive growth targets with brand and company values?

Describe how you've built and led a growth culture on your team or across an organization. (Leadership)

Areas to Cover

  • Vision for growth culture
  • Team building and hiring approach
  • Coaching and development methods
  • Experimentation framework implementation
  • Cross-functional collaboration processes
  • Knowledge sharing and learning systems
  • Performance management approach
  • Handling of failures and successes

Possible Follow-up Questions

  • How did you hire and develop talent for your growth team?
  • What resistance did you encounter and how did you address it?
  • How did you measure the effectiveness of your team's culture?
  • What were the most important leadership behaviors in fostering this culture?

What do you see as the biggest growth opportunities and challenges for [Company] based on what you know about our business? (Business Acumen)

Areas to Cover

  • Understanding of [Company]'s business model and market
  • Analysis of current growth strengths and weaknesses
  • Identification of potential growth levers
  • Competitive landscape assessment
  • User/customer insights
  • Market trend awareness
  • Prioritization thinking
  • Initial strategic recommendations

Possible Follow-up Questions

  • What data would you want to see to refine your assessment?
  • How would you approach validating these opportunities?
  • What cross-functional collaboration would be most critical?
  • How would you sequence addressing these opportunities?

How do you think about measuring success in growth beyond the standard metrics? What secondary effects do you look for? (Strategic Measurement)

Areas to Cover

  • Holistic measurement philosophy
  • Leading indicators versus lagging indicators
  • Network effects and flywheel dynamics
  • User satisfaction and quality metrics
  • Long-term versus short-term measurement balance
  • Unintended consequences awareness
  • Business health indicators
  • Impact measurement beyond direct growth metrics

Possible Follow-up Questions

  • How do you guard against optimizing for metrics that don't create real value?
  • How do you communicate these nuanced success measures to stakeholders?
  • How do you balance growth velocity with quality and sustainability?
  • What signals indicate a growth strategy might be creating future problems?

Interview Scorecard

Strategic Vision

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Tactical focus with limited strategic perspective
  • 2: Understands strategic considerations but lacks comprehensive vision
  • 3: Clear, well-developed strategic vision for growth
  • 4: Exceptional strategic vision with innovative perspectives and long-term thinking

Leadership Capability

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Limited leadership experience or effectiveness
  • 2: Capable leader but may struggle with complex organizational challenges
  • 3: Strong leader who can build and guide effective teams
  • 4: Exceptional leader who transforms organizations and develops high-performing cultures

Business Acumen

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Basic understanding of business fundamentals
  • 2: Solid business knowledge but gaps in comprehensive understanding
  • 3: Strong business acumen with clear understanding of growth's role in business success
  • 4: Exceptional business insight with sophisticated understanding of market dynamics and business models

Strategic Alignment

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Struggles to connect growth initiatives to broader strategy
  • 2: Recognizes importance of alignment but implementation is inconsistent
  • 3: Effectively aligns growth work with company strategy and values
  • 4: Masterfully integrates growth initiatives into organizational strategy creating synergistic value

Executive Presence

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Communication style lacks confidence or clarity
  • 2: Adequate presence but may struggle in high-stakes situations
  • 3: Strong executive presence with clear, confident communication
  • 4: Exceptional presence that inspires confidence and builds strong leadership relationships

Outcome: Increase user acquisition by [X%]

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Unlikely to achieve user acquisition targets
  • 2: Likely to make some progress but fall short of target
  • 3: Likely to achieve user acquisition target
  • 4: Likely to exceed user acquisition target substantially

Outcome: Improve user activation rates from [X%] to [Y%]

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Unlikely to improve activation rates significantly
  • 2: Likely to make modest improvements but fall short of target
  • 3: Likely to achieve activation rate target
  • 4: Likely to exceed activation target with innovative approaches

Outcome: Reduce user churn by [X%]

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Unlikely to impact churn reduction
  • 2: Likely to achieve modest churn reduction but below target
  • 3: Likely to achieve churn reduction target
  • 4: Likely to exceed churn reduction target with comprehensive retention strategy

Outcome: Drive a [X%] increase in revenue

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Unlikely to impact revenue growth significantly
  • 2: Likely to achieve some revenue growth but below target
  • 3: Likely to achieve revenue growth target
  • 4: Likely to exceed revenue growth target through multiple optimization strategies

Outcome: Establish a culture of experimentation

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Unlikely to foster experimentation culture
  • 2: May run experiments but unlikely to establish broader culture
  • 3: Likely to establish effective experimentation practices and culture
  • 4: Likely to create a sophisticated experimentation system with broad team adoption

Overall Recommendation

  • 1: Strong No Hire
  • 2: No Hire
  • 3: Hire
  • 4: Strong Hire

Debrief Meeting

Directions for Conducting the Debrief Meeting

The Debrief Meeting is an open discussion for the hiring team members to share the information learned during the candidate interviews. Use the questions below to guide the discussion.

Start the meeting by reviewing the requirements for the role and the key competencies and goals to succeed.

The meeting leader should strive to create an environment where it is okay to express opinions about the candidate that differ from the consensus or from leadership's opinions.

Scores and interview notes are important data points but should not be the sole factor in making the final decision.

Any hiring team member should feel free to change their recommendation as they learn new information and reflect on what they've learned.

Questions to Guide the Debrief Meeting

Question: Does anyone have any questions for the other interviewers about the candidate?Guidance: The meeting facilitator should initially present themselves as neutral and try not to sway the conversation before others have a chance to speak up.

Question: Are there any additional comments about the Candidate?Guidance: This is an opportunity for all the interviewers to share anything they learned that is important for the other interviewers to know.

Question: Is there anything further we need to investigate before making a decision?Guidance: Based on this discussion, you may decide to probe further on certain issues with the candidate or explore specific issues in the reference calls.

Question: Has anyone changed their hire/no-hire recommendation?Guidance: This is an opportunity for the interviewers to change their recommendation from the new information they learned in this meeting.

Question: If the consensus is no hire, should the candidate be considered for other roles? If so, what roles?Guidance: Discuss whether engaging with the candidate about a different role would be worthwhile.

Question: What are the next steps?Guidance: If there is no consensus, follow the process for that situation (e.g., it is the hiring manager's decision). Further investigation may be needed before making the decision. If there is a consensus on hiring, reference checks could be the next step.

Reference Calls

Directions for Conducting Reference Calls

Reference checks are a critical step in validating a candidate's past performance and work style. For a Growth Product Manager, focus particularly on their ability to drive measurable results, collaborate cross-functionally, and implement successful growth initiatives.

Before conducting reference calls, ask the candidate to introduce you to their references via email to establish context and increase the likelihood of a candid conversation. Ideally, speak with at least one former manager, one peer, and if possible, someone from another function who worked closely with the candidate (e.g., an engineer, designer, or marketer).

Explain to references that your goal is to set up the candidate for success if hired, so you're seeking honest feedback about strengths and development areas. Assure them that your conversation will remain confidential and that their candid input is valuable.

These reference questions can be repeated with multiple references to validate information and identify patterns.

Questions for Reference Calls

What was your working relationship with [Candidate], and how long did you work together?

Guidance

  • Establish the context and nature of the relationship
  • Understand the duration and recency of the working relationship
  • Determine how closely they worked together
  • Clarify the reference's role relative to the candidate

How would you describe [Candidate]'s key strengths as a Growth Product Manager?

Guidance

  • Listen for specific examples rather than general statements
  • Note if they mention attributes relevant to the essential competencies
  • Pay attention to the enthusiasm level in their response
  • Ask for clarification on any vague statements

Can you tell me about a significant growth initiative [Candidate] led? What was their approach and what were the results?

Guidance

  • Look for specific metrics and outcomes
  • Assess their strategic thinking and execution capabilities
  • Understand their level of ownership and accountability
  • Note how they measured success

How effectively did [Candidate] collaborate with different teams (engineering, design, marketing, etc.)? Any challenges in this area?

Guidance

  • Listen for specific examples of cross-functional work
  • Note communication style and effectiveness
  • Understand how they built relationships and influenced without authority
  • Identify any patterns in collaboration challenges

How would you describe [Candidate]'s approach to data and experimentation?

Guidance

  • Assess their analytical rigor and data literacy
  • Understand their experimentation methodology
  • Note how they balanced data-driven decisions with intuition
  • Look for examples of how they used data to influence decisions

What area would you suggest [Candidate] focus on for professional development?

Guidance

  • Listen for genuine development areas rather than disguised strengths
  • Assess if these development needs would impact success in your role
  • Note if multiple references mention the same development areas
  • Understand how receptive the candidate was to feedback

On a scale of 1-10, how likely would you be to hire [Candidate] again for a Growth Product Manager role? Why?

Guidance

  • Pay attention to both the rating and the explanation
  • Note any hesitation or enthusiasm in their response
  • Ask follow-up questions for ratings below 8
  • Consider how their reasoning relates to your specific role needs

Reference Check Scorecard

Growth Strategy and Execution

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Limited evidence of effective growth strategy or execution
  • 2: Mixed feedback about growth initiatives with some success
  • 3: Strong track record of developing and executing effective growth strategies
  • 4: Exceptional growth strategist with consistent, significant results

Data-Driven Decision Making

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Minimal use of data or analytical approaches
  • 2: Basic analytical capabilities with inconsistent application
  • 3: Consistently uses data effectively to drive decisions
  • 4: Sophisticated analytical approach that combines quantitative and qualitative insights

Cross-Functional Collaboration

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Significant challenges working across teams
  • 2: Generally effective collaboration with occasional friction
  • 3: Strong collaborator who builds effective cross-functional relationships
  • 4: Exceptional at fostering collaboration and creating alignment across diverse teams

Leadership and Influence

  • 0: Not Enough Information Gathered to Evaluate
  • 1: Struggles to lead initiatives or influence stakeholders
  • 2: Can lead and influence in straightforward situations
  • 3: Effectively leads initiatives and influences diverse stakeholders
  • 4: Exceptional leader who inspires others and creates meaningful organizational impact

Outcome: Increase user acquisition by [X%]

  • 0: Not Enough Information Gathered to Evaluate
  • 1: References suggest unlikely to achieve acquisition targets
  • 2: References suggest may make progress but fall short of target
  • 3: References suggest likely to achieve acquisition target
  • 4: References suggest likely to exceed acquisition target substantially

Outcome: Improve user activation rates from [X%] to [Y%]

  • 0: Not Enough Information Gathered to Evaluate
  • 1: References suggest unlikely to improve activation significantly
  • 2: References suggest may make moderate improvements but below target
  • 3: References suggest likely to achieve activation target
  • 4: References suggest likely to exceed target with innovative approaches

Outcome: Reduce user churn by [X%]

  • 0: Not Enough Information Gathered to Evaluate
  • 1: References suggest unlikely to impact churn reduction
  • 2: References suggest may achieve modest churn reduction
  • 3: References suggest likely to achieve churn reduction target
  • 4: References suggest likely to exceed churn reduction target

Outcome: Drive a [X%] increase in revenue

  • 0: Not Enough Information Gathered to Evaluate
  • 1: References suggest unlikely to impact revenue significantly
  • 2: References suggest may achieve some revenue growth below target
  • 3: References suggest likely to achieve revenue growth target
  • 4: References suggest likely to exceed revenue targets

Outcome: Establish a culture of experimentation

  • 0: Not Enough Information Gathered to Evaluate
  • 1: References suggest unlikely to foster experimentation culture
  • 2: References suggest may implement experiments but not broader culture
  • 3: References suggest likely to establish effective experimentation practices
  • 4: References suggest likely to create sophisticated experimentation systems

Frequently Asked Questions

How should we prioritize the different competencies when evaluating Growth Product Manager candidates?

While all competencies are important, data-driven decision making and experimentation mindset are foundational for growth roles. Strategic thinking becomes increasingly important for more senior positions. The relative importance of competencies may vary based on your company's specific growth challenges and stage.

What's the best way to assess a candidate's analytical capabilities?

The technical assessment and growth challenge are your best opportunities to evaluate analytical skills. Ask candidates to explain their approach to a specific analysis, how they'd use data to solve a problem, or have them walk through a past experiment. Look for structured thinking, statistical understanding, and the ability to derive insights from data.

How should we handle candidates who have strong product management experience but limited growth-specific experience?

Assess their transferable skills—analytical ability, experimentation mindset, user empathy, and collaborative leadership. These are core to both roles. You can specifically ask how they would apply their product skills to growth challenges. Consider whether your team has the bandwidth to support their growth learning curve. For more guidance, see our article on hiring for potential.

What red flags should we watch for when interviewing Growth Product Manager candidates?

Be cautious of candidates who: focus solely on acquisition without considering the full funnel; can't provide specific metrics from past work; show limited understanding of experimentation methodology; propose growth tactics without strategic rationale; or display difficulty collaborating with technical teams. Also watch for those who view growth as solely marketing's responsibility or who prioritize short-term growth at the expense of user experience.

How can we distinguish between a Growth Product Manager and a Growth Marketer during interviews?

Growth Product Managers typically have deeper product development experience, stronger technical collaboration skills, and focus on product-led growth through the entire funnel. Growth Marketers often have more channel expertise and focus more on acquisition and top-of-funnel metrics. Ask about their experience optimizing product experiences vs. marketing channels, their relationships with engineering teams, and how they've influenced the core product experience.

Should we emphasize different skills for B2B versus B2C growth roles?

Yes, while the core competencies remain similar, B2B growth roles typically require stronger understanding of sales processes, longer customer journeys, and account-based strategies. B2C roles often emphasize viral loops, engagement mechanics, and large-scale experimentation. Adjust your questions to reflect these differences based on your business model.

How much technical knowledge should we expect from a Growth Product Manager?

They should understand technical concepts sufficiently to collaborate effectively with engineering teams, discuss implementation trade-offs, and determine what's feasible. They don't need engineering-level technical skills but should understand product analytics, A/B testing tools, basic statistical concepts, and have enough technical literacy to have credibility with engineering teams.

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