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The Twenty Minute VCThe Twenty Minute VC

Shreyas Doshi: The 6 Product Metrics You Need To Know; The 3 Types of Product Leader | E913

Shreyas Doshi is an investor, advisor, and all-around product OG. Most recently Shreyas spent over 5 years at Stripe where he was Stripe’s first PM Manager and helped define and grow the Product Management function (from ~5 to more than 50…

Shreyas DoshiguestHarry Stebbingshost
Aug 2, 20221h 1mWatch on YouTube

Summaries, chapters, transcripts, and FAQs on this page are made by uListen, not YouTube.

At a glance

WHAT IT’S REALLY ABOUT

Shreyas Doshi Reveals Core Product Metrics And Leader Archetypes

  1. Shreyas Doshi explains his definition of product management and frames product success through three lenses: user adoption, customer satisfaction, and business impact.
  2. He introduces six key categories of product metrics, clarifies the limits of a single North Star Metric, and stresses the importance of pairing quantitative metrics with qualitative feedback.
  3. Doshi outlines three archetypes of product leaders—operator, craftsperson, and visionary—explaining when each is needed, common hiring mistakes, and how founders should think about their own role versus a CPO.
  4. He also discusses strategy-led product decisions (including when to ignore customer requests), the importance of segment focus and differentiation, and how motivation and alternatives shape acceptable time-to-value.

IDEAS WORTH REMEMBERING

5 ideas

Measure multiple metric categories, not just a single North Star.

Doshi breaks metrics into six categories—health, usage, adoption, satisfaction, ecosystem, and outcome—and argues that focusing on just one number (like a North Star Metric) obscures the input metrics that actually drive outcomes.

Adoption is an output; optimize the inputs instead.

Teams often obsess over adoption or active users, but Doshi recommends tracking and improving usage and health metrics (e.g., task creation, latency, error rates) that causally drive user adoption and retention.

Avoid over-engineering your North Star Metric, especially early-stage.

Founders should choose a reasonable, measurable North Star quickly, then spend time shipping product and learning, instead of endlessly refining the perfect but hard-to-measure metric.

Founders must stay deeply involved in top-level product metrics.

Even if they delegate details to a CPO or head of product, founders cannot outsource responsibility for defining and understanding the company’s key product metrics and must be competent or actively develop competence here.

Match the product leader archetype to your stage and strengths.

Pre- or just-post-PMF companies usually need a craftsperson (strong product insight and translating ambiguity into winning products), while later-stage, cross-functional complexity calls for an operator; visionaries are rare and often best paired with craftspeople and operators.

WORDS WORTH SAVING

5 quotes

Product management is the art, science, and practice of making successful products and making products successful.

— Shreyas Doshi

Adoption is an end result of something else you do… you’re better off measuring those other things.

— Shreyas Doshi

The North Star metric is not a panacea… you end up spending time working on a metric instead of shipping product.

— Shreyas Doshi

A competent visionary is extremely rare… they’re just more right about where the world is headed.

— Shreyas Doshi

You will find pockets of customers that are highly dissatisfied… and that’s where I like companies that create highly differentiated experiences for them.

— Shreyas Doshi

Read the available transcript
Definition and core goals of product managementSix categories of product metrics and choosing adoption metricsNorth Star Metrics: benefits, pitfalls, and qualitative feedbackThree product leader archetypes: operator, craftsperson, visionaryWhen and how to hire your first senior product leaderBalancing customer feedback with product strategy (BTD framework)Customer motivation, alternatives, and time-to-value in product design

High quality AI-generated summary created from speaker-labeled transcript.

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