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Teacher since March 2026

Sanjana Rao

Product management for AI features: deciding, specifying, testing and pricing them well

9

tutors built

4.5Sample

average from 19 reviews

388Sample

lessons taught by their tutors

About Sanjana

I teach product managers and founders how to build AI features that people trust and keep using. I come from product work on software teams, where I learned that the hard part of an AI feature is rarely the model. It is deciding whether the feature should exist, writing down what good looks like, testing it before customers do and watching it after launch. My lessons are hands on: we write a requirement, draft an evaluation set, sketch the failure states. I am direct about trade offs and I always ask what the user would do if the feature were wrong.

Knows about

  • AI product management
  • product requirements
  • UX of AI features
  • evaluation before launch
  • pricing AI features
  • product analytics
  • customer discovery
  • post launch monitoring

Tutors by Sanjana

9 tutors

Writing Requirements for AI Features

Writing Requirements for AI Features

Write product requirements that define good output, failure handling and how you will testIntermediateAI for product and operations4.5(4)89 lessonsSample
Sanjana Rao$9
AI Product Management for New PMs

AI Product Management for New PMs

Learn what changes when your product's core behaviour is probabilistic, and how to manage itBeginnerAI for product and operations4.3(4)80 lessonsSample
Sanjana Rao$5
Evaluating an AI Feature Before Launch

Evaluating an AI Feature Before Launch

Build an evaluation set, grade outputs reliably and set launch gates your team agrees onAdvancedAI for product and operations4.7(3)70 lessonsSample
Sanjana Rao$14
Turning Customer Interviews Into Insight

Turning Customer Interviews Into Insight

Go from a pile of interview transcripts to findings you can defend, with every quote traceableIntermediateAI for marketing and sales4.7(3)58 lessonsSample
Sanjana Rao$7
Pricing and Packaging AI Features

Pricing and Packaging AI Features

Price AI features with real usage costs, customer value and fair limits in mindAdvancedAI for business4.5(2)55 lessonsSample
Sanjana Rao$13
Deciding When a Product Needs AI

Deciding When a Product Needs AI

Judge whether an AI feature solves a real user problem before your team builds itIntermediateAI for product and operations4.7(3)36 lessonsSample
Sanjana Rao$8
Product Analytics for PMs, With AI Help

Product Analytics for PMs, With AI Help

Ask better product questions and use AI to explore data without fooling yourselfBeginnerAI for product and operationsNew
Sanjana Rao$5
Designing AI Features Users Can Trust

Designing AI Features Users Can Trust

Design AI experiences that set expectations, show sources and make mistakes easy to fixAll levelsAI for product and operationsNew
Sanjana Rao$7
Monitoring an AI Feature After Launch

Monitoring an AI Feature After Launch

Know within days, not months, when your AI feature starts getting worse, slower or costlierAdvancedAI for product and operationsNew
Sanjana Rao$13

Recent reviews

What students said about Sanjana's tutors.

  • Emeka O.Sample

    Very solid. The safety lesson could be longer, but it pointed us to the right tests and we found a cross account leak in staging.

    On Evaluating an AI Feature Before Launch

  • Ji-woo P.Sample

    I stopped nodding along when engineers said 'evals'. Now I ask what is in the eval set and whether it includes cases where the answer should be no.

    On AI Product Management for New PMs

  • Lucas M.Sample

    I moved from project management into a PM role on an AI search feature. The running help centre example made retrieval versus fine tuning finally make sense. I used the brief template in my second week.

    On AI Product Management for New PMs

  • Fatima Z.Sample

    Clear and patient. The lesson on error types was the best part. A bit basic in places if you already know some AI terms, but I liked being asked to explain things back.

    On AI Product Management for New PMs

  • Owen R.Sample

    Solid foundations, but I wanted more on working with data scientists day to day. The failure modes lesson was useful though.

    On AI Product Management for New PMs

  • Chiamaka O.Sample

    Good on the boring but important parts: consent, removing names, keeping line numbers. My findings page is shorter now and my team argues with the evidence, not with me.

    On Turning Customer Interviews Into Insight