Choose an audit, build, analysis sprint, practical AI workflow, or defined monthly support. Each option is tied to a specific problem and usable deliverable.
Published ranges are preserved where they already exist. Final scope depends on data access, complexity, stakeholder needs, and the required deliverable.
Recommended starting point • 1–2 weeks
Best for: Teams that know reporting is messy but need an outside review before choosing what to rebuild.
Unclear KPIs, reporting gaps, inconsistent dashboards, or manual processes make the next investment hard to prioritize.
Flagship build • 2–5 weeks
Best for: Teams that need a trusted dashboard, reporting pack, or recurring KPI system connected to a real operational question.
Raw files and scattered tools require manual effort, and leadership cannot get a consistent view of performance.
Focused analysis • 1–3 weeks
Best for: Ecommerce, product, and growth teams that need a clearer read on funnels, customer behavior, campaigns, or experiments.
Test setup, traffic splits, audiences, segments, or KPI movement need validation before a decision is made.
One defined workflow
Best for: Research, analytics, or operations teams that want to test one practical AI-assisted workflow before expanding.
A repetitive task may benefit from AI, but the workflow, evaluation method, guardrails, and owner are not yet clear.
For active clients
Best for: Teams that already have a dashboard, reporting pack, or experiment readout and need defined ongoing support.
Reporting assets lose value when refreshes, QA, interpretation, and small fixes do not have a clear owner.
This free one-page resource covers the data, stakeholder, KPI, QA, and handoff questions worth answering before you approve another dashboard.
Share the reporting, testing, or workflow problem. I will help identify whether an audit, sprint, or another path makes the most sense.