A Forecast Workspace begins with the decision your team is trying to make. Cenva defines the scope, builds the evidence and forecast checks, then assembles them into one inspectable read.
The map connects the original question to the drivers, entities, screens, forecasts, evidence, scenarios, and watch conditions required to answer it.
Which holdings are most exposed if AI infrastructure spending slows?
Establish the entities, horizon, assumptions, benchmarks, and source requirements. Where a broad question requires candidate discovery, the shortlist is reviewable before forecasting.
Separate what can be screened today from what is genuinely uncertain. Forward checks receive explicit outcome criteria and are researched independently.
Turn the completed checks into a ranked read that explains the mechanisms, missing evidence, dominant risks, and conditions that would change the answer.
A workspace is not a single generated memo. It is a set of connected views over the same decision model.
The concise answer, ranked entities or signals, and why the leaders matter.
Each atomic uncertainty, its probability, rationale, and resolution definition.
Source records, benchmark context, and the path from evidence to judgment.
Conditional views where a hard assumption materially changes the forecast setup.
The evidence, thresholds, or events that would strengthen or weaken the read.
A shareable HTML or PDF brief after the evidence and quality checks are satisfied.
Users define the question, edit the universe, add context, inspect the checks, and decide whether an output is suitable to share. The system is built to expose uncertainty, not hide it.
Evidence coverage, unresolved caveats, and degradation flags are treated as product state. A concise answer does not erase those limits.
Share the decision, horizon, and universe. We will outline the forecast map before a full workspace is built.