Insight Pipeline & Repository (AI-assist)
Build a clean insight pipeline from capture to synthesis, then store findings in a simple, searchable repository. Keep methods light, evidence grounded, and use AI for speed where it helps. No heavy frameworks, just practices your team can repeat every week.
Lessons
What is an insight pipeline?
How to capture research insights during user sessions
How to assign note taking roles for user interviews
How to use AI transcription without losing accuracy
How to use reusable session templates
How to build a tagging taxonomy for user research
How to avoid over tagging in your note system
How to use AI assisted tagging effectively
How to link evidence to every insight
How to handle sensitive user data safely
How to normalize metadata for search
Quality checks for raw notes
How to run affinity mapping without the mess
How to name themes in plain language
How to deal with contradictions and outliers in research
triangulation for higher confidence insights
How to write compelling one paragraph insights
How to score the strength of an insight
Do not jump into mapping yet
How to design a simple repository structure
Specialized tool or general workspace
How to backfill legacy research fast
How to create effective saved searches
How to share findings with short digests
How to keep your repository clean
Access control and privacy basics
How to use AI summaries with human review
How to build a reusable clip library
How to onboard new teammates with a repo tour
Part of Product Discovery
Master product discovery: methods, cadence, and opportunity mapping that turn insights into action.
View full courseOther modules in this course
Discovery Principles & Operating System
Set up the habits, roles, rules, and rhythms that make discovery continuous.
Recruiting System & Sampling
Build a repeatable system to find, screen, schedule, and maintain the right participants every week.
Discovery Methods Toolbox
Pick the right research method for the question. Learn how to run interviews, surveys, product data checks, quick prototypes, diary studies, and usability tests.
Opportunity Mapping Methods
Turn raw insights into a clear map of opportunities that tie to outcomes.
Assumption Mapping & Risk Reduction
Identify what must be true for your idea to succeed, map those assumptions by importance and evidence, then run the smallest tests that can break the risky ones first.
From Insight to Bets
Turn solid insights into clear product bets. You'll learn how to write a short opportunity brief, frame falsifiable hypotheses, set success and guardrail metrics.
Collaboration & Stakeholder Rituals
Make discovery a team sport. Set up simple rituals with design, engineering, and stakeholders so learning turns into decisions.
Discovery Governance & KPIs
Put light structure around discovery so teams make better decisions without red tape.
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