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Brian Tolkin

Head of Product and Design

Opendoor

Execution (1)📈 Growth & Metrics (1)👥 Team & Culture (1)

Key Takeaways

  • 1.Treat Operations and Product as a 'twin turbine jet'—use Ops to iterate manually on the ground before using Product to scale via technology.
  • 2.For low-volume products, lower your statistical significance threshold (e.g., from 95% to 80%) to increase experiment velocity.
  • 3.If A/B testing is impossible due to low sample sizes, utilize 'Sister City' analysis, Diff-in-Diff measurements, or long-term holdouts to build conviction.
  • 4.Structure product reviews with a 'Sign-up' cadence rather than a forced schedule to ensure meetings occur only when decisions are needed.
  • 5.When building for infrequent user behaviors (like selling a home), focus heavily on the user's 'Context' within the Jobs-to-be-Done framework, not just the app utility.
  • 6.Capture all incoming ideas in a backlog to make stakeholders feel heard, but ruthlessly filter for the 'kernel of truth' that provides actual tech leverage.
  • 7.In high-stress leadership moments, remember that reflecting stress onto the team causes them to tense up and perform worse; calm is a strategic asset.

Methodologies(3)

Execution

A staged approach to scaling complex physical-world processes. Instead of building software immediately, the company validates the process manually, scales it via batching, and only builds technology when human scaling breaks.

Core Principles

  • 1.Stage 1: High-Touch Manual (Do things that don't scale). Solve the problem 1-on-1 (e.g., onboarding drivers individually for 90 minutes).
  • 2.Stage 2: Process Batching. Increase efficiency without new tech (e.g., moving to classroom sessions of 10-20 drivers).
  • 3.Stage 3: Content Scaling. Use static media to replicate instruction (e.g., showing a video instead of a live presentation).
  • +2 more...

"Computers are deterministic, but humans aren't... building products that have a little bit more flex or a little bit more fail safes in case those things happen becomes a little bit more of a paramount."

#manual-to-scale#automation#ladder
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📈 Growth & Metrics

A hierarchy of validation techniques for businesses with high-value, low-frequency transactions (like real estate). It prioritizes honest statistical analysis over false precision and offers alternatives to standard A/B tests.

Core Principles

  • 1.Step 1: Honest Power Analysis. Calculate the 'Minimum Detectable Effect' and runtime upfront. If it takes 6 months, acknowledge that reality.
  • 2.Step 2: Adjust Confidence Intervals. Accept a lower confidence level (e.g., 80%) instead of the standard 95% if the cost of being wrong is manageable.
  • 3.Step 3: use Macro-Comparison Methods. If user-level split testing fails, use 'Sister City' analysis (comparing similar markets) or Diff-in-Diff analysis.
  • +2 more...

"The only mistake here is thinking you'll get an answer in a month when you won't, and then pretending you do."

#low-volume#conviction#growth
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👥 Team & Culture

A specific meeting structure designed to balance executive accountability with genuine collaborative problem-solving, ensuring the meeting improves the product rather than just judging the PM.

Core Principles

  • 1.Principle 1: Dual Goal Definition. Explicitly state at the start: The goal is accountability/informing AND helping the team think through the problem.
  • 2.Principle 2: The 'Pull' Cadence. Instead of mandatory weekly slots, offer 'Sign-up Slots' (e.g., 2 slots/week) that teams claim when they need input.
  • 3.Principle 3: Small Audience. Keep the active participant list under 10 people to prevent performative behavior.
  • +2 more...

"Product reviews hopefully are not feeling like firing squads. That's a scary environment to be in and not necessarily one that's conducive to how do we make the product better."

#'safe#space'#product
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