“today my guest is Ramesh Johari Ramesh is a professor at Stanford University”
Ramesh Johari
Ramesh is a professor at Stanford University where he researches and teaches data science methods, especially for online marketplace design and operation.
1 episode · 1 sourced appearance
Appearances and evidence
Short attributed excerpts only. Timestamps are approximate.
Frameworks in these episodes
Episode-linked context, not an unsupported claim of authorship.
Fairer Marketplace Rating System Design
Fight rating inflation and averaging bias with renormed labels, priors, blind reviews, and the sound of silence.
Hypothesis-Driven Experimentation: Learning as a Win
Reframe experiments from winners/losers to hypotheses; run more, run shorter, and carry priors forward.
Marketplace Whack-a-Mole: Managing Winners and Losers
Most consequential marketplace changes create winners and losers; manage the trade, don't chase a metric.
Predict vs. Decide: Think in Differentials
Prediction finds correlations; decisions need causal differences. Optimize the lift, not the level.
Start Bespoke, Become a Marketplace Later
A marketplace never starts as a marketplace; win with a pre-liquidity value prop first.
The Scaled-Liquidity Smell Test
Before calling yourself a marketplace, prove you have scaled liquidity on both sides.
Resources in their episodes
- Airbnb
- Amazon
- Apple Podcasts
- Bumble
- DoorDash
- eBay
- Eppo
- Four Thousand Weeks
- Free Solo
- Hex
- How to Lie with Statistics
- IKEA
- Lenny's Podcast
- Lyft
- Only Murders in the Building
- OpenAI
- Sanity
- Spotify
- Stanford University
- Stitch Fix
- Stripe
- Substack
- Superhost
- The Alpinist
- The Sound of Silence
- Thumbtack
- Uber
- Upwork
- Venmo
- Yelp
Related guests
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