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03 / Strategy automation · Proposed workflow

From signals
to strategy.

Connect what users do, what systems reveal and what the team knows. Turn scattered signals into a clear, evidence-backed next move.

Workflow concept / Evidence-led product decisionsAgents investigate · People choose

Many signals.
Explore a source or follow the next move.

The gap

More dashboards.
Still an unanswered question.

Product events, AI traces, error reports and support conversations each show part of the picture. Finding a useful direction means connecting those perspectives with the goals and decisions already held inside the team.

The proposed approach

Investigate first.
Recommend with context.

Agents gather evidence around a specific question, challenge plausible explanations and prepare a decision brief. People choose the direction; approved ideas become experiments or implementation work with a way to judge the result.

Explore the workflow

Connect the evidence before choosing the action.

Step 1 / 5

Illustrative scenarios, not findings from a live system. Choose a question, then explore the sources and steps.

Why are first tasks going unfinished?

Connect the evidence
Five complementary sources

Connect the evidence

Gather relevant evidence for the same question, cohort and time window. Link each observation to its source and flag missing or conflicting information before drawing conclusions.

Intended value

A direction the team can inspect.

Evidence stays attached.

Recommendations retain links to the observations behind them, alongside gaps and alternative explanations.

Context shapes priorities.

Goals, constraints and previous decisions inform the proposed direction instead of treating every signal as a new priority.

Learning closes the loop.

Approved work has an owner and a validation plan. Results feed back into decision history for the next investigation.

Next use case

From release to resolution.

Follow a live release through team updates, ticket resolution and customer notifications.