Who This Is For
Teams who have AI analytics features turned on but aren’t getting decision-ready outputs from them.
AI outputs feel generic
You’ve turned on AI features in your analytics tool but outputs feel generic and untrustworthy.
Can’t translate to decisions
Your team can see AI recommendations but can’t translate them into real decisions.
Data quality holding back AI
You suspect your data quality is holding back AI performance but don’t know where to start.
Want team self-sufficiency
You want your team self-sufficient with AI analytics — not dependent on analysts for every question.
Scope of Work
Two tiers — coaching or hands-on implementation.
Coaching — Expert Guidance
- Four structured sessions reviewing your setup and identifying what’s holding your AI back
- Rebuild one core dashboard optimised for AI outputs
- Train your team on AI features using your actual data and your actual questions
Hands-On — We Fix It With You
- Everything in Coaching, plus we get hands in the system
- Audit tracking, clean event structure, set up AI context, rebuild dashboards
- Full team enablement session — you leave with a setup AI can actually use
What You Get (Coaching)
- Session notes and prioritised action list
- One core dashboard optimised for AI outputs
- Enablement materials the team keeps
What You Get (Hands-On)
- Full tracking audit + cleaned event structure and AI context
- Decision-aligned dashboards and AI Readiness Report
- Enablement materials and training recordings
Roadmap
Two tracks — choose what fits your needs.
4 Sessions Over 2 Weeks
- Session 1 — Kickoff: Align on goals, analytics setup, and what AI success looks like
- Session 2 — Data Review: Walk through events and properties; leave with a prioritised fix list
- Sessions 3 & 4 — Dashboard rebuild and live AI features training tailored to your team
4 Weeks
- Weeks 1–2: Audit tracking, clean event structure, set up AI context
- Week 3: Build decision-aligned dashboards structured for AI outputs
- Week 4: Live AI training sessions tailored to your team’s use cases
What You Walk Away With
- AI outputs your team can act on — not generic answers that create more questions
- Dashboards and AI outputs aligned to the decisions that actually matter
- A team that knows how to work with AI analytics, not around them
- Data quality at a level where AI recommendations are trustworthy
Frequently Asked Questions
Yes — we work with Amplitude, Mixpanel, GA4, PostHog, and more. The workshop adapts to your stack.
Coaching is right if your tracking is basically sound and you need expert guidance and training. Hands-On is right if you want us to fix the underlying issues, not just advise on them.
We’ll tell you at kickoff. If tracking is fundamentally broken, we’ll redirect you to a Data Stack Audit first — it’s not worth training your team on AI before the foundation is solid.
Minimum: one analytics or data POC with workspace access, and the team members who will use AI features day-to-day. Leadership attendance for the final session is recommended but not required.