discover-sources

A confidence ceiling in product analytics defines the maximum reliability of decisions based on your current data sources. It is calculated by evaluating source strength, identity resolution join keys, and evidence mapping to determine if you have enough valid product data to decide.

To map evidence sources for a new product analytics project, you inventory live connectors and offline sources, assign each an evidence role, identify metric-tree branches, and define identity resolution join keys to produce a usable source map.

You audit product data connectors by probing live connections and registries to identify available evidence sources. This process checks probe status, assigns maximum strength ratings, and classifies sources across analytics, support, CRM, reviews, and internal docs.

Yes, identity resolution keys connect offline source discovery with CRM and support tickets by defining join keys across these platforms. This maps the evidence base, allowing you to link disparate data streams for comprehensive product evaluation.

You need to gather outside-in signal before making product decisions when your confidence ceiling is too low. If evidence mapping reveals insufficient internal data strength from analytics and support sources, outside-in signals are required to proceed.

Relying solely on internal docs for product evaluation limits your confidence ceiling because internal docs lack identity resolution keys and objective metric-tree branches. This creates a weak evidence base, often requiring external support tickets or product analytics for reliable decisions.