These are product anatomies, not current recommendations or live forecasts. They show how different decision questions are structured before evidence and probability estimates are produced.
A portfolio ranking, company thesis, policy exposure, and strategic scenario require different source plans and forecast checks. The workspace preserves that distinction.
A portfolio question becomes a candidate screen, driver map, company-level forecast checks, and a ranked downside read.
The workspace defines the bear case, identifies the mechanisms behind it, and turns each mechanism into a forecastable check.
Policy uncertainty is translated into procurement checks, company exposure mapping, and explicit watch conditions.
These output formats are implemented in Cenva today. Public examples are published only after their data, status, and permissions have been reviewed.
A decision question, current read, evidence-ranked signals, caveats, watch conditions, and source appendix.
Thesis, beliefs, evidence, thesis breakers, scenario context, questions, signals, and sources.
One resolvable question with probability, reasoning, drivers, uncertainty, triggers, and evidence.
A broad source or theme translated into a coherent set of explicit forecast questions.
Representative public records and source links used to ground the workspace snapshot.
A client-facing briefing with internal pipeline language and identifiers removed.
Cenva is integrating a replacement forecasting core. During that transition, marketing examples are static and explicitly labeled rather than presenting stale data as current.
Share the decision and context. We will outline the universe, drivers, and forecast checks it requires.