product-behavior-signals

# Behavior Signal Intelligence ## Intent - Triangulate qualitative stories with quantitative funnels to uncover true motivation, anxiety, and habit loops. - Maintain a living evidence stack that de-risks product, game, or web3 bets. ## Required Inputs 1. Latest analytics dashboards or raw event exports. 2. Recent interview/UGC transcripts, community threads, customer support logs. 3. Current instrumentation coverage map (events, properties, cohorts). ## Workflow 1. **Instrument gap check** - Audit current telemetry vs. critical behaviors; file gaps immediately. 2. **Pattern mining** - Cluster behaviors by intent (explorers, creators, whales, lurkers, churned) using both quant cuts and qual quotes. - Map anxieties vs. triggers vs. rewards. 3. **Insight synthesis** - For each cluster, craft a “belief statement” (user tension + evidence + implication). - Link to supporting artifacts (charts, clips, tickets). 4. **Action routing** - Translate belief statements into testable hypotheses or backlog items with owners. - Set review cadence (weekly insight review, monthly deep dive). ## Verification - Every belief statement references at least one quantitative and one qualitative source. - Instrumentation gaps tracked with owners/dates. - Insight backlog reviewed with product/game leads and updated within the last sprint.