How It Works | Recommendations
Recommendations with evidence,
not another report to interpret.
Chainworthy surfaces prioritized next moves from your KPIs, Findings, goals, and context. Each recommendation includes confidence, goal linkage, and projected impact where your data supports it, with assumptions you can evaluate.
Features
Triggered by your data
When data changes or you ask.
New data can generate recommendations. You can also describe an idea and ask Chainworthy to analyze it against selected datasets. No fixed weekly recommendation cadence.
Projected impact, qualified
Numbers with assumptions shown.
Estimated revenue or value where the data supports a projection. Assumptions documented so your team decides, not blindly accepts.
Goal-aware priority
Ranked by what moves goals.
Recommendations know your active goals and rank what moves them forward. Open queue and accepted items live on the Goal Canvas.
Full lifecycle
Review, accept, act.
Review, accept, defer, or dismiss. Accepted recommendations feed Actions. Status and history are auditable.
Domain depth
Strategy-informed, not generic.
Grounded in the platform knowledge base plus your Context Library and data, so suggestions read like strategist work.
How recommendations fit the loop
- Recommendations are the primary prescriptive output.
- They connect analysis to a decision.
- Actions and tracked KPI movement close the loop.
Recommendations ranked by projected impact
Request a demo to see how recommendations turn your data into prioritized, financially projected actions.