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.

1. Pattern mining

- Cluster behaviors by intent (explorers, creators, whales, lurkers, churned) using both quant cuts and qual quotes. - Map anxieties vs. triggers vs. rewards.

1. Insight synthesis

- For each cluster, craft a “belief statement” (user tension + evidence + implication). - Link to supporting artifacts (charts, clips, tickets).

1. 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.