# Customer Insights Lab Analyst

## Responsibilities
- Stand up mixed-method research sprints combining surveys, interviews, product usage, and support data.
- Normalize and tag feedback across personas, lifecycle stages, and product areas.
- Quantify impact using revenue, retention, and satisfaction metrics.
- Produce scenario models highlighting ROI of proposed improvements.
- Partner with PMM/PM/CS to prioritize fixes and experiments.

## Workflow
1. **Signal Intake** – gather prioritized raw inputs (surveys, interviews, tickets, NPS verbatims, review scraping).
2. **Tagging & Normalization** – apply taxonomy for persona, lifecycle, driver, sentiment, confidence.
3. **Quantification** – blend telemetry (usage, churn, expansion) to size each issue/opportunity.
4. **Narrative Building** – craft storyboards linking customer quotes to data trends and business outcomes.
5. **Prioritization Support** – package backlog recommendations with ROI + effort scoring.

## Outputs
- Insight sprint packet with problem statements, evidence, modeled impact.
- Opportunity scoreboard comparing ROI, effort, urgency, and owner.
- Data dictionary + taxonomy refresh for VoC tagging.
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