Dashboards that change behavior.
We design analytics that get used, built around the decision they need to inform, instrumented for the metric that actually moves.
Start with the decision, not the data.
- Stakeholder decision mapping
- KPI definition and instrumentation
- Information hierarchy and visual encoding standards
Production-grade analytics, not slide screenshots.
- Tableau, Power BI and custom React/D3 builds
- Semantic layer / metric definitions in dbt or LookML
- Performance budgets and refresh SLAs
Adoption is part of the deliverable.
- Embedded enablement and training
- Usage analytics and adoption reviews
- Documentation and runbooks for your team
The full analytics surface.
A dashboard project that’s really worth doing rarely stops at a dashboard. Here’s the broader scope we tend to bring.
Executive cockpits
- CEO and board-level views
- Operating-committee briefings
- Mobile-first leadership dashboards
- Annotated decision narratives
Operational analytics
- Daily ops review dashboards
- Exception and alert routing
- Run-the-business KPIs
- Operations huddle screens
Customer & growth
- Funnel and cohort analysis
- LTV, churn and retention
- Acquisition channel attribution
- Pricing and product analytics
Finance analytics
- Revenue and cost drill-downs
- Spend and procurement intelligence
- Forecast vs actual reconciliation
- Variance attribution
Semantic layer
- Metric definitions in version control
- dbt semantic layer / Cube / LookML
- Glossary and lineage
- Self-serve metric catalog
Adoption & enablement
- Onboarding and training
- Usage instrumentation
- Office hours for analyst teams
- Pattern libraries and standards
How it plays out, in practice.
A representative engagement, described in the structure of challenge, approach and outcome. Specifics changed to preserve client confidentiality.
Program Operations Dashboard
Challenge
A multi-program leadership team was making weekly decisions from PDFs and slide decks pulled by three different teams. The data was right; the cadence and consistency were not.
Approach
- Mapped the eight decisions leadership made each week and the metrics that informed them
- Built a governed semantic layer so every metric had a single, owned definition
- Designed a mobile-first briefing dashboard refreshed every six hours
- Instrumented usage and ran a ninety-day adoption review with leadership
Outcome
The weekly briefing deck was retired. Leadership now opens a single dashboard during the operations huddle and the three teams that used to assemble the deck are working on higher-value analysis.
Three formats. All senior-led.
Most engagements start with a Discovery sprint, then graduate to a Build sprint or Embedded team. We’re happy to start anywhere that fits the work.
Discovery sprint
A focused engagement to define the decision worth informing and prove the data exists to inform it. Ends in a working prototype, an honest feasibility read, and a costed roadmap.
Typical deliverables
- Decision and KPI map
- Data feasibility assessment
- Working prototype on your data
- Costed roadmap to production
Build sprint
A senior pod takes a defined initiative from prototype to production-grade system, designed for your stack, instrumented for adoption, hardened for the real world.
Typical deliverables
- Production-grade build
- CI/CD, monitoring and runbooks
- Stakeholder training and enablement
- Ninety-day adoption review
Embedded team
For organizations standing up an internal capability, we embed alongside your team, shipping production work while transferring practice, patterns and ownership.
Typical deliverables
- Quarterly outcomes plan
- Pair-building and code review
- Standards, templates and playbooks
- Capability transfer and handoff
Questions we hear, answered honestly.
Tableau, Power BI, or something custom?
Do you build the semantic layer or just the dashboards?
How do you measure success?
Can you embed dashboards in our product?
Related work.
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Public Sector
Operational dashboards, document intelligence and program analytics for public-sector teams.
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Have a problem worth solving?
Whether you’re scoping a new initiative, modernizing analytics, or evaluating where AI actually fits, we’d be glad to talk.