Applied Data Thinking for Product Teams
Applying evidence-based reasoning to real product decisions, with a live cohort of practitioners.
Course overview
This cohort course applies evidence-based reasoning directly to product decisions: interpreting experiment results, evaluating user research, and making the case for a direction when the data is genuinely ambiguous.
What you’ll learn
- Interpret experiment results without overreaching
- Combine qualitative and quantitative evidence responsibly
- Make a product case when the data is genuinely mixed
- Push back on evidence being used to justify a foregone conclusion
Curriculum
5 chapters · 15 lessons · 6h 40m
Applying reasoning to real product evidence.
- Where product teams misread evidence16m
- Live session: cohort kickoff and case walkthrough40m
Interpreting experiments honestly.
- Reading an experiment result without overreaching19m
- Combining qualitative and quantitative evidence18m
- Live session: experiment interpretation workshop50m
Making a case when the data is mixed.
- Building a case from genuinely ambiguous evidence17m
- Live session: mixed-evidence case simulation50m
Pushing back on motivated reasoning.
- Recognizing evidence used to justify a conclusion16m
- Pushing back constructively in a team setting15m
- Live session: peer review of cohort cases45m
Present a full evidence-based product recommendation.
- Project brief: a genuinely ambiguous product bet9m
- Live session: final recommendation presentations45m
Requirements
- Completion of Data Thinking: Reasoning with Evidence or equivalent
- Availability for weekly live cohort sessions
Who this is for
- Product managers interpreting experiment and research data
- Analysts embedded directly in product teams
- Designers who partner closely with research and data teams
Related courses
Product Strategy Fundamentals
Deciding what to build and why — the trade-offs behind a strategy that actually guides decisions.
Product Strategy in Practice
Running strategy through a full planning cycle — from ambiguous signal to a committed roadmap.
Data Thinking: Reasoning with Evidence
Asking better questions of evidence instead of reaching for the nearest available number.