Two different questions
Your BI platform tells you day-7 retention dropped 12% after last week's patch. That's where it stops.
Analytics tells you what happened. It can't tell you whether what you're building fits the market you're building it for. Your BI platform shows retention dropped after the patch. Iridae asks: what are your options, what are the tradeoffs, which one should you ship? Then it connects that decision to execution and tracks what changed.
Insight-to-action gap
Most teams don't stall at the data. They stall at what comes after:
- The chart is clear but the "what now?" stays ambiguous across functions.
- Ownership bounces between product, live ops, engineering, and growth.
- Approvals happen in threads, not in a durable decision record.
- Weeks later, nobody can tie what shipped back to the original assumptions.
Better dashboards don't fix this. The problem is turning shared visibility into shared follow-through.
What Iridae adds
- Ingest signal from your analytics, telemetry, and market data.
- Frame the decision: options, tradeoffs, and risks.
- Draft a brief with explicit assumptions and owned next steps.
- Route approved work through your existing tools.
- Track outcomes so the next cycle learns from what happened.
Analytics stays your ground truth. Iridae runs the decision loop on top.
Comparison at a glance
| Dimension | BI + analytics | Iridae |
|---|---|---|
| Core question | "What happened when?" | "What would happen if?" and "what should we do next?" |
| Typical outputs | Dashboards, cohorts, funnels, alerts | Decision briefs, action plans, traced outcomes |
| Best for | Visibility, diagnosis, shared language | Decisions, follow-through, compounding learning |
| Together | Analytics stays the ground truth layer | Iridae runs the decision-to-action loop on top |