Roadmap committed
- Publish moat milestones
- Instrument top loops
- Track scorecard quarterly
Playbook
AI moat design workshop
This is for you if you are building at pre-seed, seed, Series A. Best moment: Use this before quarterly planning once you have early customer usage and feedback data.
What you should do
Use this when teams agree moat matters, but not which signals to capture or prioritize first.
Decision: Which data loop will become our moat, and who owns it this quarter?
Next this week: Upload your deck for a First Look.
When this fits
Decision criteria
- You need shared language across product, ML, and GTM teams.
- Current roadmap lacks explicit flywheel milestones.
- You want moat claims tied to measurable execution signals.
Decision matrix
Execution flow
System flow
AI moat workshop execution flow
- Signal inventory
- Loop design
- Ownership model
- Roadmap scoring
- Commitment gate
Workshop follow-up
- Assign owners to open decisions
- Sequence dependencies
- Set next workshop checkpoint
No alignment
- Narrow problem scope
- Rebuild data ownership
- Avoid broad moat claims
Weekly loop
Quarterly loop: re-score moat progress based on shipped instrumentation and outcomes.
Who this is not for
Teams with no telemetry instrumentation path in current quarter.
Businesses where proprietary data rights are contractually unavailable.
Organizations focused only on near-term service margin extraction.
FAQ
Is this highly technical?
It is cross-functional: technical enough for implementation, clear enough for leadership decisions.
Can this be remote?
Yes.
Read full answer
The workshop structure supports remote collaboration and asynchronous prep.
Actionable next step
See which parts of your moat story your deck supports and which need evidence before you pick a data loop to own.
Upload your deck for a First Look