Lyft Staff Product Manager Interview Preparation Guide
The Lyft Staff Product Manager interview process is designed to assess strategic product thinking, execution excellence, cross-functional leadership, and ability to drive impact across multiple teams and organizational boundaries. The process spans 4-6 weeks and includes a recruiter screening, two technical phone rounds focused on product sense/strategy and execution/analytics, and four comprehensive onsite rounds covering product strategy, metrics and performance, cross-functional leadership, and staff-level strategic impact.
Interview Rounds
Recruiter Screening
What to Expect
Your initial conversation with Lyft's HR recruiter to assess overall fit, background verification, and expectations alignment. This is a get-to-know-you session where the recruiter will confirm you have the necessary qualifications and experience for a Staff-level PM role. The recruiter will dig into your background, career progression, key accomplishments, and motivation for joining Lyft. They will explain the interview process, timeline, and answer logistical questions. This round typically determines whether you move forward to phone interviews.
Tips & Advice
Be authentic and concise. Prepare a compelling 2-3 minute elevator pitch of your career, emphasizing your progression to Staff level and key accomplishments in product management. Have 3-4 specific stories ready: one successful product launch, one challenging project, one example of cross-functional leadership, and one example of mentoring or developing other PMs. Research Lyft's business model (two-sided marketplace), recent product announcements, market position versus Uber, and regulatory challenges. Be ready to articulate why Lyft specifically appeals to you beyond just brand recognition—reference specific product challenges or strategic direction. Ask thoughtful questions about team structure, the specific product area, and growth/mentorship opportunities. For Staff level, emphasize your track record of mentoring, strategic influence, establishing best practices, and managing complex initiatives across teams.
Focus Topics
Understanding of Lyft's Business and Competitive Landscape
Show you've researched Lyft's two-sided marketplace model (drivers and riders), recent product launches, competitive positioning versus Uber, regulatory challenges in key markets, and strategic growth areas. Be ready to discuss market trends and how they affect Lyft.
Practice Interview
Study Questions
Motivation and Strategic Fit for Lyft
Articulate why you're specifically interested in Lyft as a Staff PM. Go beyond generic reasons and demonstrate you understand Lyft's business challenges (competitive pressure from Uber, regulatory complexity, marketplace dynamics), product strategy, and growth areas. Connect your expertise to specific problems Lyft is solving or could solve.
Practice Interview
Study Questions
Leadership, Mentorship, and Organizational Influence
Highlight your experience mentoring junior and mid-level PMs, driving cross-functional initiatives that required influence without direct authority, establishing best practices, and raising organizational standards. Show examples of how you've developed people and shaped how organizations think about product.
Practice Interview
Study Questions
Career Progression to Staff Level
Articulate your career journey with specific milestones and progression to Staff-level PM role. Show how you've expanded from managing individual products to owning strategy across multiple teams or business areas. Highlight scope expansion, increasingly complex problems, and growing organizational influence.
Practice Interview
Study Questions
Key Accomplishments and Business Impact
Prepare 3-4 specific examples of products, features, or initiatives you've led that delivered measurable business impact. For each, be prepared to discuss the problem, your strategic approach, metrics that demonstrate success, key challenges overcome, and what you learned. Quantify impact where possible.
Practice Interview
Study Questions
Phone Screen - Product Sense & Strategy
What to Expect
Your first technical phone interview with a Lyft PM or Product Lead. This round assesses your product thinking, strategic frameworks, ability to structure complex problems, and market awareness. You will likely receive an open-ended product question and be expected to think out loud, ask clarifying questions, and walk the interviewer through your analytical approach. For Staff-level candidates, this round emphasizes strategic thinking, ability to balance multiple competing priorities, and organizational awareness.
Tips & Advice
Structure your thinking clearly using frameworks like CIRCLES (Clarify, Identify, Recognize, Clarify, List, Evaluate, Summarize) or similar. Start by asking clarifying questions about user, market, business context, constraints, and timeline before jumping to solutions. Think out loud so the interviewer can follow your reasoning. For Staff level, elevate to strategic considerations: market dynamics, competitive threats, multi-team dependencies, long-term vision, organizational constraints, and how to drive consensus across stakeholders. Use data and quantitative thinking wherever possible. Be comfortable discussing trade-offs, acknowledging ambiguity, and explaining how you'd reduce uncertainty. For Lyft-specific questions, consider ridesharing dynamics like supply-demand matching, driver incentives, surge pricing, safety, regulatory compliance, user retention, and expanding into adjacent services. Prepare examples of how you've thought through two-sided marketplace dynamics and complex product decisions affecting multiple stakeholders.
Focus Topics
Competitive Analysis and Market Positioning
Show ability to analyze competitive landscape (Uber, local transit alternatives, car ownership, other mobility options), identify Lyft's unique positioning and differentiation, and spot white-space market opportunities. Discuss how you'd maintain or build competitive advantage through product strategy.
Practice Interview
Study Questions
Stakeholder Complexity and Organizational Constraints
Show awareness that product decisions must balance multiple stakeholder perspectives: riders (satisfaction, pricing, safety, convenience), drivers (earnings, flexibility, support, safety), operations (efficiency, liability, support costs), regulatory bodies, and shareholders. Discuss frameworks for navigating competing priorities and finding creative solutions.
Practice Interview
Study Questions
Product Strategy Development and Vision
Demonstrate ability to develop long-term product strategy aligned with business objectives and market opportunities. Show how you identify market opportunities, assess competitive landscape, define compelling product vision, and create roadmaps balancing user needs with business goals. For Staff level, emphasize ability to think multi-year and across multiple teams.
Practice Interview
Study Questions
Problem Framing and Hypothesis Development
Demonstrate ability to break down complex, ambiguous problems into smaller, solvable components. Show structured thinking through frameworks. Ask clarifying questions to reduce ambiguity. Develop clear hypotheses before proposing solutions. Show comfort with ambiguity while working toward clarity.
Practice Interview
Study Questions
Two-Sided Marketplace Dynamics and Lyft's Business Model
Deep understanding of Lyft's two-sided marketplace model balancing driver and rider needs. Show awareness of supply-demand dynamics, driver incentives and retention, surge pricing mechanics, acceptance/cancellation rates, wait times, and other operational metrics. Discuss how product decisions impact both sides differently.
Practice Interview
Study Questions
Phone Screen - Execution & Analytics
What to Expect
Your second technical phone interview, typically with a different Lyft PM, Analytics Manager, or Product Lead. This round focuses on execution excellence, metrics definition, analytics thinking, and data-driven decision making. You will likely receive questions about how you would measure success, define KPIs, track metrics, debug metric anomalies, identify problems through data, or set up dashboards. This round assesses your ability to execute strategy through rigorous data and metrics discipline.
Tips & Advice
Prepare to think in terms of leading and lagging indicators, and how to balance them. Be familiar with ridesharing metrics: Gross Bookings, Net Revenue, driver earnings, rider cohort retention, cohort lifetime value, acceptance rates, cancellation rates, average wait time, supply (driver hours), surge pricing impact, Customer Acquisition Cost, Driver Acquisition Cost. When asked about a problem, show systematic diagnostic process: define the metric clearly, break it down by dimensions (geography, user segment, time period, cohort), form hypotheses about root causes, propose investigations or experiments. Show strong analytical thinking without needing to write actual SQL. For Staff level, think about leading indicators that predict future business performance, how to balance short-term metrics with long-term strategy, and how you've built data cultures or trained teams on rigorous metrics thinking. Discuss how you've used data to influence skeptical stakeholders or drive difficult decisions.
Focus Topics
Dashboard Design and Metrics Reporting
Discuss how you would design dashboards for different audiences (leadership, product team, cross-functional partners). Show thinking about what metrics matter to whom, how to present data for different purposes, how to create dashboards that drive action rather than just reporting. For Staff level, discuss establishing metrics frameworks and reporting discipline across teams.
Practice Interview
Study Questions
Experimentation and Hypothesis Testing at Scale
Show experience designing and interpreting experiments. Discuss how you would design an experiment (hypothesis, control/test groups, success metrics, sample size), calculate statistical power, interpret results, distinguish statistical significance from practical significance, and decide scaling decisions. For Staff level, discuss sophisticated approaches (multi-armed bandits, sequential testing, geo-based experiments).
Practice Interview
Study Questions
Analytical Problem-Solving and Diagnosis
Show ability to diagnose problems using data systematically. Given a metric anomaly or drop, walk through your investigation process: segment the problem by dimensions, form hypotheses about root causes, drill down into segments, identify patterns, propose solutions. Show comfort with ambiguity and structured thinking.
Practice Interview
Study Questions
Lyft-Specific Metrics and Two-Sided Marketplace Analytics
Deep understanding of ridesharing-specific metrics: acceptance rates (drivers accepting rides), cancellation rates (riders and drivers), wait time, surge pricing effects on supply and demand, driver earnings, driver retention, rider retention and cohorts, Gross Bookings, Net Revenue, take rates, Customer Acquisition Cost, Driver Acquisition Cost, lifetime value. Show ability to think about how these metrics interconnect and impact each other.
Practice Interview
Study Questions
Metrics Definition and KPI Framework
Demonstrate ability to define meaningful metrics for products or features. Distinguish between leading indicators (predictive of future performance), lagging indicators (outcome-based), and vanity metrics (impressive but not actionable). Show understanding of how to select balanced scorecard of metrics that drive decisions and align teams toward goals.
Practice Interview
Study Questions
Onsite Interview - Product Strategy & Vision
What to Expect
Your first onsite interview at Lyft offices (or virtual equivalent), typically with a Senior PM, Product Lead, or Director of Product. This round digs deeper into strategic thinking, long-term product vision, and ability to shape organizational strategy. You may receive an open-ended strategic question about Lyft's future direction, a new market opportunity, a competitive challenge, or how you would approach entering an adjacent market. The focus is on your ability to think strategically across multiple dimensions, consider multiple scenarios, balance trade-offs, and articulate compelling vision. For Staff level, this assesses your ability to shape organizational strategy and think beyond individual products.
Tips & Advice
Prepare strategic frameworks for evaluating opportunities: market sizing (TAM/SAM/SOM), competitive positioning and defensibility, user problems and fit, business model viability, technical feasibility, organizational readiness, timing. Be ready to discuss Lyft's current strategic priorities and how you would approach a major strategic challenge (e.g., how to grow in competitive markets, how to address regulatory headwinds, how to expand beyond ride-sharing). Show long-term thinking (3-5 year horizon) while grounding in near-term execution milestones. For Staff level, discuss how you would build alignment across multiple teams on strategic direction, how you would communicate vision compellingly, and how you would make strategic trade-offs at organizational level. Prepare examples of times you've influenced organizational strategy or helped teams navigate significant pivots. Show comfort with ambiguity and ability to make decisions with incomplete information.
Focus Topics
Lyft's Strategic Position and Competitive Moat
Show understanding of Lyft's competitive positioning versus Uber and other alternatives. Discuss Lyft's strategic advantages (driver focus, community orientation, market share in certain geographies), vulnerabilities, and how product strategy can maintain or build competitive moat. Show nuanced understanding of ridesharing economics.
Practice Interview
Study Questions
Organizational Alignment and Cross-Team Strategy
For Staff level, show ability to develop strategy that creates alignment across multiple teams (product teams, engineering, design, marketing, operations, legal, finance). Discuss how you would communicate vision, gain buy-in from stakeholders with different priorities, coordinate execution across teams, and drive accountability.
Practice Interview
Study Questions
New Market and Growth Opportunity Assessment
Ability to evaluate new market opportunities for Lyft expansion. Examples: autonomous vehicles, public transit integration, food/goods delivery, expanding to new geographies, international markets, financial services for drivers. Show how you would assess opportunity (market size, competitive dynamics, technical feasibility, business model, regulatory considerations), develop strategy, and phase approach.
Practice Interview
Study Questions
Long-Term Product Vision Development
Ability to develop compelling product vision aligned with business strategy and customer needs. Show how you think 3-5 years ahead while staying grounded in market realities and competitive dynamics. Discuss how vision drives prioritization and team alignment. For Staff level, show how you'd develop vision across multiple product areas.
Practice Interview
Study Questions
Strategic Prioritization and Organizational Trade-offs
Show ability to prioritize strategically among competing opportunities and constraints. Discuss frameworks for making trade-offs: innovation vs. operational excellence, user experience vs. business metrics, short-term revenue vs. long-term growth, scaling existing business vs. exploring new markets.
Practice Interview
Study Questions
Onsite Interview - Metrics, Analytics & Performance
What to Expect
Your second onsite interview, typically with another PM, Analytics Manager, or Product Analytics Lead at Lyft. This deep-dives into advanced analytics thinking, sophisticated metric interpretation, and using data to drive product decisions at scale. You may receive questions about setting up measurement frameworks, debugging complex metric anomalies, designing experiments, interpreting datasets with conflicting signals, or establishing metrics discipline across teams. For Staff level, this assesses your ability to build data-driven decision frameworks, influence organizations toward rigorous analytics, and make strategic decisions grounded in data.
Tips & Advice
Come prepared with advanced analytics thinking. Be able to discuss cohort analysis, retention curves, customer lifetime value, monetization funnels, and how to diagnose complex issues at scale. Show understanding of Simpson's Paradox, correlation vs. causation, and other common analytics pitfalls. For Staff level, think about how you would establish analytics best practices, build measurement frameworks that span multiple teams, create data literacy in organizations, and use data to influence skeptical stakeholders. Prepare examples of times you've used analytics to make strategic decisions, course-correct strategy based on data, or helped organizations develop data discipline. Show ability to balance quantitative and qualitative insights. Discuss your philosophy on data-driven decision making.
Focus Topics
Building Data-Driven Culture and Measurement Discipline
For Staff level, discuss how you've built data literacy in teams, established measurement frameworks that span multiple teams, influenced skeptical stakeholders through data, or helped organizations develop data discipline and rigor. Show examples of raising organizational standards around analytics.
Practice Interview
Study Questions
Experimentation at Scale and Statistical Rigor
For Staff level, discuss how to run sophisticated experiments at scale: multi-armed bandits, sequential testing, geo-based experiments, cohort-based experiments. Show understanding of statistical power, sample size calculations, novelty effects, and common experimental design pitfalls. Discuss how to run experiments in two-sided marketplaces where decisions affect both sides.
Practice Interview
Study Questions
Metric Diagnosis and Root Cause Analysis at Scale
Given a complex scenario (e.g., 'Rider retention dropped 5% in Q3 but only in certain cities; driver supply is up but acceptance rates down'), show systematic diagnostic approach. Break down by dimensions, form competing hypotheses, propose investigations, consider multiple root cause theories. Walk through analytical approach clearly. For Staff level, show how you'd coach teams on this discipline.
Practice Interview
Study Questions
Advanced Cohort Analysis and User Retention
Deep understanding of how to analyze user cohorts, track retention curves over time, understand customer lifetime value by cohort, and identify early signals of user satisfaction or churn. Show ability to segment users and understand behavior patterns across segments (geography, rider type, driver type). Discuss how retention metrics guide product strategy.
Practice Interview
Study Questions
Monetization, Revenue Analytics, and Pricing Strategy
Understanding of Lyft's monetization model (take rate on rides, premium features). Show ability to think about pricing strategy, surge pricing mechanics and effects, driver incentive effects on supply, and how product decisions affect revenue and profitability. Discuss metrics like Average Revenue Per Ride, Gross Bookings, Net Revenue, take rate.
Practice Interview
Study Questions
Onsite Interview - Cross-Functional Leadership & Collaboration
What to Expect
Your third onsite interview, typically with stakeholders from engineering, design, operations, marketing, or legal at Lyft. This round assesses your ability to collaborate effectively across functions, influence without direct authority, manage conflicts, and drive alignment among stakeholders with competing interests. You may receive questions about managing difficult cross-functional situations, collaborating with engineering on complex prioritization, working with design on product decisions, navigating legal/regulatory constraints, or handling situations where stakeholders disagree. For Staff level, this assesses your ability to build high-performing cross-functional teams and influence at organizational level.
Tips & Advice
Prepare specific examples of successful cross-functional collaboration where you navigated competing priorities or conflicts. Use STAR format (Situation, Task, Action, Result). Show how you build relationships, communicate clearly, give credit, and navigate disagreements constructively. For Staff level, emphasize examples where you've influenced large cross-functional initiatives, helped resolve organizational tensions, or raised collaborative standards. Prepare for Lyft-specific complexities: working with engineering on technical feasibility and infrastructure challenges, collaborating with operations on driver/rider support and logistics, navigating with legal/compliance on regulatory issues, and balancing competing priorities. Show emotional intelligence, empathy for other functions' constraints, and ability to find creative win-win solutions. Be authentic about times you've learned from mistakes.
Focus Topics
Operational and Regulatory Considerations
For Lyft-specific context, show understanding of operational constraints (driver/rider support infrastructure, payment systems, vehicle requirements) and regulatory landscape (driver classification, insurance, local regulations, data privacy). Show ability to collaborate with operations and legal teams, understand their constraints, and design products that work within those constraints.
Practice Interview
Study Questions
Design Partnership and User-Centric Collaboration
Show ability to collaborate with design teams and leverage user research in product decisions. Discuss examples of balancing user experience ideals with technical/business constraints. Show respect for design expertise and ability to push back constructively when needed.
Practice Interview
Study Questions
Influence Without Direct Authority
Show examples of influencing leaders, engineers, designers, or other teams who don't report to you. Demonstrate ability to build credibility through expertise and track record, align incentives, and drive action through persuasion, data, and clear communication rather than authority.
Practice Interview
Study Questions
Engineering Collaboration and Technical Feasibility
Show ability to work effectively with engineering teams, understand technical constraints and trade-offs, and influence prioritization while respecting technical expertise. Discuss examples of difficult technical decisions you've navigated with engineers (technical debt vs. new features, performance vs. feature velocity). Show respect for engineering perspective while advocating for user needs and business goals.
Practice Interview
Study Questions
Cross-Functional Conflict Resolution and Consensus Building
Show ability to navigate conflicts among stakeholders with competing priorities (engineering wants technical debt reduction, marketing wants new features, leadership wants revenue growth, operations wants scalability). Show how you find win-win solutions, build consensus, and make decisions that stakeholders can commit to even if not their first choice.
Practice Interview
Study Questions
Onsite Interview - Staff+ Leadership & Strategic Impact
What to Expect
Your final onsite interview, typically with a Director of Product, VP of Product, or Chief Product Officer. This round focuses on Staff-level capabilities: mentorship and talent development, organizational influence, strategic impact, and ability to drive change at scale. This is your opportunity to demonstrate why you merit a Staff-level role and the value you'll bring to Lyft's product organization. Questions may focus on your track record of building and mentoring teams, driving organizational-level initiatives, navigating ambiguity at scale, establishing best practices, or examples of significant business impact. Your answers should show Staff-level maturity and readiness.
Tips & Advice
This is your opportunity to stand out as Staff material. Prepare compelling examples of organizational impact beyond individual products: times you've influenced strategy at multiple levels, mentored junior PMs who advanced their careers, driven cross-team initiatives, established best practices or processes that improved how organizations work, navigated significant organizational changes, or helped teams scale. Show strategic thinking and ability to operate at multiple levels simultaneously (hands-on work + organizational leadership). Focus on: (1) Mentorship examples: specific junior PMs you've developed, how you've helped them grow, their career progression; (2) Cross-team/cross-product initiatives: scope, stakeholders, outcomes, your leadership; (3) Organizational influence: examples of shaping strategy, establishing standards, influencing culture; (4) Navigating complexity: times you've operated effectively amid ambiguity, competing priorities, organizational challenges; (5) Significant business impact: examples with quantified outcomes and lasting effects. Be authentic and show genuine passion for product and people development. Discuss your product philosophy, how you stay current with industry trends, and how you'd approach scaling Lyft's product organization.
Focus Topics
Product Management Philosophy and Thought Leadership
Show how your thinking about product management has evolved over your career. What principles guide your decisions? How do you think about balancing competing priorities (user needs, business goals, technical constraints, organizational realities)? Where do you see the field heading? What's your point of view on how products should be built? Show original thinking grounded in experience.
Practice Interview
Study Questions
Navigating Organizational Ambiguity and Change
Show examples of successfully navigating significant organizational change, ambiguity, or challenges. Examples: organizational restructuring, major strategy pivots, competitive threats, market disruptions, new market entries. Discuss: what was ambiguous, how you operated when direction was unclear, how you helped teams navigate uncertainty, how you provided clarity or direction, what outcomes resulted.
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Study Questions
Mentorship and Development of Product Talent
Show track record of mentoring junior and mid-level PMs, developing their capabilities, and helping them advance careers. Discuss your mentorship philosophy, specific examples of PMs you've developed (their starting point, how you helped them grow, where they are now), how you create learning environments, how you challenge people to grow beyond their comfort zones.
Practice Interview
Study Questions
Cross-Team and Cross-Product Strategic Initiatives
Show examples of leading initiatives that span multiple teams or product areas. Discuss scope (number of teams, products, business impact), how you aligned multiple stakeholders with different priorities, how you drove coordination and execution, what were outcomes and business impact. Show your leadership approach.
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Study Questions
Significant Business and Organizational Impact
Articulate your most significant impact in your career. Go beyond just launching features—show how you've influenced business trajectory, market position, organizational capability, or culture. Quantify impact where possible (revenue impact, market share, user growth, retention improvements, org scale, etc.). Show lasting, sustained impact.
Practice Interview
Study Questions
Establishing Product Excellence and Best Practices
Show examples of how you've established or influenced product practices, processes, or standards that improved team effectiveness or product quality. Examples: metrics frameworks, product review processes, roadmap planning methodologies, experimentation discipline, user research practices, cross-functional processes.
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Frequently Asked Product Manager Interview Questions
Sample Answer
-- first timestamp per user per step
WITH first_step AS (
SELECT user_id, event_name,
MIN(ts) AS first_ts
FROM events
WHERE event_name IN ('visit','signup','activate','purchase')
GROUP BY user_id, event_name
),
-- pivot to columns
user_steps AS (
SELECT
user_id,
MIN(CASE WHEN event_name='visit' THEN first_ts END) AS t_visit,
MIN(CASE WHEN event_name='signup' THEN first_ts END) AS t_signup,
MIN(CASE WHEN event_name='activate' THEN first_ts END) AS t_activate,
MIN(CASE WHEN event_name='purchase' THEN first_ts END) AS t_purchase
FROM first_step
GROUP BY user_id
),
-- enforce ordering: only count a step if its timestamp is after prior step
ordered AS (
SELECT user_id,
CASE WHEN t_visit IS NOT NULL THEN 1 ELSE 0 END AS did_visit,
CASE WHEN t_signup IS NOT NULL AND t_signup >= t_visit THEN 1 ELSE 0 END AS did_signup,
CASE WHEN t_activate IS NOT NULL AND t_activate >= t_signup THEN 1 ELSE 0 END AS did_activate,
CASE WHEN t_purchase IS NOT NULL AND t_purchase >= t_activate THEN 1 ELSE 0 END AS did_purchase
FROM user_steps
)
SELECT
SUM(did_visit) AS users_visit,
SUM(did_signup) AS users_signup,
SUM(did_activate) AS users_activate,
SUM(did_purchase) AS users_purchase
FROM ordered;Sample Answer
Sample Answer
Sample Answer
Sample Answer
-- WAU by cohort (channel/device)
SELECT week_start, channel, device, COUNT(DISTINCT user_id) as wau
FROM events
WHERE event_date BETWEEN DATE_SUB(CURRENT_DATE, INTERVAL 14 DAY) AND CURRENT_DATE
GROUP BY week_start, channel, device;-- DAU trend and errors
SELECT event_date, COUNT(DISTINCT user_id) as dau, SUM(is_error) as errors
FROM events
GROUP BY event_date;Sample Answer
SELECT date_trunc('day', charged_at) AS day,
COUNT(*) AS orders,
SUM(amount_cents)/100.0 AS revenue
FROM billing.payments
WHERE country = 'XX'
GROUP BY 1
ORDER BY 1 DESC
LIMIT 30;SELECT date_trunc('day', created_at) day,
COUNT(*) refunds,
SUM(amount_cents)/100.0 amt
FROM billing.refunds
WHERE country = 'XX' AND created_at >= current_date - interval '30 days'
GROUP BY 1
ORDER BY 1;SELECT error_code, COUNT(*) cnt
FROM billing.payment_attempts
WHERE country = 'XX' AND status = 'failed' AND attempted_at >= current_date - interval '14 days'
GROUP BY 1
ORDER BY cnt DESC;SELECT rate_date, base_currency, target_currency, rate
FROM finance.fx_rates
WHERE target_currency = 'LOCAL' AND rate_date >= current_date - interval '30 days'
ORDER BY rate_date DESC;SELECT p.code, p.type, COUNT(*) uses, SUM(b.amount_cents)/100.0 revenue_affected
FROM marketing.promo_uses pu
JOIN billing.payments b ON pu.payment_id = b.id
JOIN marketing.promos p ON pu.promo_id = p.id
WHERE b.country = 'XX' AND pu.used_at >= current_date - interval '30 days'
GROUP BY p.code, p.type
ORDER BY uses DESC;-- get sampled users to inspect session flow
WITH sampled_users AS (
SELECT user_id FROM analytics.sessions
WHERE country = 'XX' AND started_at >= current_date - interval '14 days'
GROUP BY user_id
ORDER BY RANDOM()
LIMIT 1000
)
SELECT s.user_id, s.session_id, s.started_at, e.event_type
FROM analytics.sessions s
JOIN analytics.events e USING (session_id)
WHERE s.user_id IN (SELECT user_id FROM sampled_users)
ORDER BY s.user_id, s.started_at;Sample Answer
Sample Answer
Sample Answer
Sample Answer
Recommended Additional Resources
- Product Strategy: 'Inspired' by Marty Cagan, 'Empowered' by Marty Cagan and Chris Jones
- Analytics and Data: 'Lean Analytics' by Alistair Croll and Benjamin Yoskovitz, 'Trustworthy Online Controlled Experiments' by Kohavi, Tang, and Xu
- Strategy: 'Good Strategy, Bad Strategy' by Richard Rumelt, 'Playing to Win' by Lafley and Martin
- Cross-Functional Leadership: 'The Five Dysfunctions of a Team' by Patrick Lencioni, 'Radical Candor' by Kim Scott
- Ridesharing and Gig Economy: Research recent articles, case studies, and industry reports on Lyft and ridesharing economics; study how two-sided marketplaces operate
- Lyft-Specific Research: Visit Lyft official website, read product blog, review recent earnings reports and investor presentations, study Lyft's app and user experience, follow Lyft news and competitive announcements
- PM Interview Prep: Exponent PM interview course, Reforge product strategy and analytics courses, ProductTank PM interview prep resources
- Statistics and Experimentation: Khan Academy statistics courses, Andrew Ng's Coursera machine learning course (covers experimentation), 'Intro to Statistics' by Stanford University (online)
- Industry Trends: Follow on Twitter/LinkedIn: Product Hunt, Reforge, Silicon Valley Product Group, individual PM thought leaders; subscribe to Substack newsletters on product and analytics
- Mock Interviews: Practice with peers, use Exponent or similar platforms for mock interviews with other PMs
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