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Direct answer

Use Cockpit > Action Center as decision support. Open each suggestion, verify its supporting data and current scope, then prioritize accepted work by business relevance, evidence strength, effort, dependencies, and the metric cohort you can monitor.

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Data required

Use Action Center suggestions and supporting records, the current Strategy context, configured prompts, providers and models, topics or tags, stored answers and citations, Site Readiness findings, Content Opportunities, owners, effort, and dependencies.

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Workflow

1

Review the suggestion

Open its evidence and confirm that the affected prompt, provider, source, page, or technical issue is still in scope.
2

Validate the hypothesis

Read underlying answers or technical findings. Separate observed facts from the proposed explanation and expected outcome.
3

Prioritize the work

Assess business relevance, evidence, reversibility, effort, dependencies, and measurement quality. Accept only work with an accountable owner.
4

Track and re-evaluate

Use the Action plan to record status, then compare later monitoring periods with the same cohort. Record external implementation separately.

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Interpretation

A suggestion is a hypothesis derived from current workspace data. Its order is relative to the configured Strategy and available evidence; it is not a forecast or guarantee. Completion in Action Center records workflow status, not proof of publication or metric impact.

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Possible next actions

  • If a verified technical blocker prevents intended access, test the smallest safe correction before dependent content work.
  • If a content gap is supported by relevant prompts and answers, test one evidence-led page or update.
  • If priorities conflict, revise Strategy context and document the business decision rather than treating the queue as objective truth.

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Limitations

Suggestions can become stale when prompts, providers, competitors, content, or strategy changes. Some actions occur outside Qwairy and require separate evidence. MCP tools follow their own schemas and should not be assumed to mirror the product queue.

Exports

Export supporting data for review.

Qwairy MCP

Use supported MCP tools and schemas.

Shared Links

Share a filtered evidence view.

Choose the intervention

Compare content, source, and technical hypotheses.

Plan a monthly sprint

Select bounded tests for the current month.

Topic-provider weakness

Validate a candidate matrix gap.