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
- •Latest analytics dashboards or raw event exports.
- •Recent interview/UGC transcripts, community threads, customer support logs.
- •Current instrumentation coverage map (events, properties, cohorts).
Workflow
- •Instrument gap check
- •Audit current telemetry vs. critical behaviors; file gaps immediately.
- •Pattern mining
- •Cluster behaviors by intent (explorers, creators, whales, lurkers, churned) using both quant cuts and qual quotes.
- •Map anxieties vs. triggers vs. rewards.
- •Insight synthesis
- •For each cluster, craft a “belief statement” (user tension + evidence + implication).
- •Link to supporting artifacts (charts, clips, tickets).
- •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.