Case study
Northstar Analytics
Concept study: leadership dashboards with machine-drafted commentary anchored to live metrics. The exploration that shaped the anti-dashboard stance.
Problem
Leadership teams lack a single source of truth with proactive commentary across product lines.
Approach
Explored a modular narrative framework with scenario planning and AI-generated commentary anchored to live metrics.
Result
A design exploration, not a client engagement. It shaped the anti-dashboard stance: AI commentary belongs inside the workflow, not on another screen.
Problem
Leadership teams lack a single source of truth with proactive commentary across product lines.
Approach
Explored a modular narrative framework with scenario planning and AI-generated commentary anchored to live metrics.
Result
A design exploration, not a client engagement. It shaped the anti-dashboard stance: AI commentary belongs inside the workflow, not on another screen.
Overview
Northstar Analytics is a concept study: a design exploration, not a shipped client dashboard. It tested whether AI-generated commentary could make leadership reporting read like a briefing instead of a wall of charts.
The problem it explores
Leadership teams rarely lack data; they lack a shared narrative. Metrics live in one tool, context in another, and the "so what" arrives late, if at all.
What the exploration produced
- A modular narrative framework: every metric block pairs with machine-drafted commentary a human approves.
- Scenario planning views that keep assumptions visible next to outcomes.
- Alerting designed around decisions, not thresholds.
Why it matters
This study sharpened a conviction that now runs through the real work: most teams don't need another dashboard; they need the commentary delivered inside the tools they already check. That anti-dashboard stance is documented in the writing and applied in the shipped workflow systems.
Services involved
- Strategy & discovery
- Experience design
- Systems thinking
- Product enablement
Result to inspect
A design exploration, not a client engagement. It shaped the anti-dashboard stance: AI commentary belongs inside the workflow, not on another screen.
Where this leads
If this is close to your context, the next move is usually a walkthrough or a short brief.
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Next step
If the shape of this case matches your team, make the next move explicit.
A walkthrough or short contact note is usually enough to test whether the fit is real.