Services / Dashboards & Decision Support
Most dashboards are graveyards. The fix is design, not more charts.
Decision-support work is about the last mile: taking reliable data and putting it in front of the right person, in the right shape, at the moment they decide. Fewer charts, clearer answers.
The full picture
The last mile is a loop, not a launch
Decision support works when it is treated as a product. Governed data feeds a single metric layer, so every view shares one definition of every number. Focused views serve each audience and the decisions they own. And usage is tracked after launch: what gets used gets sharpened, what gets ignored gets fixed or retired.
Governed data
Tested, documented datasets from the foundation layer.
One metric layer
Each metric defined once, as code. Every view shares it.
Views per audience
Executive summaryOperational drill-downAnalyst workbenchDecisions & actions
Reorder, reassign, investigate. The reason any of this exists.
The main ideas
How we think about it
The principles behind the work, in plain language. If these make sense to you, we'll get along.
01
Start from the decision
Every view answers a question someone actually asks: should we reorder, which region is slipping, where is the bottleneck this week. If no decision depends on a chart, it doesn't earn a place.
02
One screen, one story
A dashboard that tries to show everything shows nothing. We design focused views per audience: the executive summary, the operational drill-down, the analyst workbench.
03
Trust is a feature
Every number shows where it came from and when it was refreshed. The fastest way to kill a dashboard is one figure nobody can explain.
04
Built on the foundation
Dashboards are only as good as the pipes behind them. Ours sit on documented, tested data flows, which is why the numbers hold up in the boardroom.
What teams miss
Shipped is not the same as adopted
Most dashboards are opened twice: once at the demo, and once more out of guilt. The difference between a graveyard and a tool people rely on is what happens after launch.
The deliverable
- Launched with an email, never opened again
- Every chart computes its own version of 'revenue'
- One dashboard for everyone, forty charts deep
- Refresh time unknown; trust dies on the first stale number
- No owner once the project closes
- Success declared at delivery
The decision product
- A named owner and an iteration cadence after launch
- One metric layer: every view shares the same definitions
- A focused view per audience and per decision
- Freshness and sources visible on every screen, with SLAs
- Usage tracked: ignored views get fixed or retired
- Success measured in adoption and decisions changed
In production
What production decision support involves
The chart is the visible tip. Underneath it sits the machinery that keeps the numbers right and the audience coming back.
01
A semantic layer
Metric definitions written once, as code, and shared by every view. 'Revenue' means the same thing in the boardroom and on the shop floor.
02
Certified sources
Views draw only from tested, documented datasets. If the pipe is not trustworthy, the chart is fiction with good typography.
03
Access by audience
Row-level security and audience-scoped views, so each person sees exactly what they should and nothing they should not.
04
Performance budgets
A view that takes ten seconds to load is a view nobody opens. Speed is part of the design, measured and kept.
05
Freshness SLAs
Every screen says when its data was refreshed and how fresh it is promised to be. Stale data with a timestamp keeps trust; stale data without one destroys it.
06
An adoption loop
Usage analytics on the dashboards themselves, reviewed on a cadence, feeding iteration. Decision support is never finished, only improving.
The flow
How an engagement runs
Focused, trusted views that change how decisions get made.
01
Shadow
We sit with the people who'll use it and learn the decisions they make each week, and what they wish they knew.
02
Prototype
Quick mock-ups in front of real users, refined before anything is wired to live data.
03
Wire
Views are connected to governed, tested data, with refresh schedules and source notes visible.
04
Adopt
Training, iteration based on real usage, and a tidy handover. Adoption is the metric, not delivery.
Sound like your situation?
A free 30-minute call to talk it through. No pitch, no obligation.