Feedback Loop for Continuous Improvement
Aliveo AI gets better with use—and your feedback is a direct input. Every answer, report, and recommendation can be rated, and that signal flows back to the Aliveo team and into how the platform interprets your data.
Rating an Answer
Wherever Aliveo produces a result, you can tell it whether that result was helpful:
- In Analytics Chat and the in‑product Support chat, each response carries a thumbs‑up / thumbs‑down control, with an optional note to say what was off.
- Workflow and report outputs can be flagged the same way.
A thumbs‑up reinforces that an approach worked; a thumbs‑down—especially with a note—tells us exactly where to look.
What Happens to Your Feedback
Feedback is reviewed by the Aliveo team, and negative feedback is routed to us right away (into a monitored channel) so we can investigate quickly. A typical review looks at:
- The question and the context in scope (accounts, date range, KPIs).
- The answer or recommendation that was produced.
- Your note about what didn't match expectations.
Where the issue is with how Aliveo read your business—a KPI definition, an acronym, a naming convention—we'll often work with you to update your Context so future answers are right by default.
How It Improves the Product
Your feedback feeds two kinds of improvement:
- For your account — refinements to context, definitions, and instructions so recommendations get more relevant to how you work.
- For the platform — recurring patterns inform improvements to prompts, retrieval, and models, and the system uses successful analyses to handle similar questions faster and more reliably next time.
Because the same underlying engine powers chat, agents, and dashboards, an improvement made from one piece of feedback tends to raise quality everywhere.
Your ratings are never used to train shared models on your data—see Security and Privacy. To reach a person directly, use the in‑product Support chat or email support@aliveo.ai.