If your MVP ships without a reporting model, you’ll still ship — but you’ll pay later.
The “later” looks like:
- revenue categories that don’t match your pricing
- costs you can’t allocate
- KPIs that change definition every month
- dashboards you don’t trust
Here’s the simple approach that prevents that.
Start with 3 questions
1) What is the business model (right now)?
Even if you plan to change it later, decide the current model:
- subscription (monthly/annual)
- usage-based
- one-off projects
- hybrid
Your KPIs and chart-of-accounts follow this decision.
2) What decisions must the founder make weekly?
Pick 3–5 decisions your dashboard must support:
- Are we growing or stalling?
- Which acquisition channel works?
- Are we profitable per customer?
- Are we burning too fast?
- Which features drive retention?
These decisions determine what data you need.
3) What are the core entities?
For most SaaS MVPs:
- User
- Organization / Account
- Subscription / Plan
- Invoice / Payment
- Event (behavior)
Map them early, keep them simple, and your data stays clean.
The minimum “reporting-ready” data model
For an MVP, you don’t need a data warehouse.
You need consistent tables and consistent definitions.
A practical minimum set
organizationsuserssubscriptionsinvoicespaymentsevents(optional but powerful)
The biggest mistake
Tracking “revenue” as a single number without structure.
Instead, tag revenue with:
- product line (if multiple)
- plan tier
- billing cycle
- acquisition channel (if known)
This turns your metrics into decisions.
A founder-friendly KPI set (simple and usable)
Here’s a good starter KPI dashboard:
Growth
- New MRR
- Churned MRR
- Net MRR
- Active accounts
Retention
- Logo churn %
- Revenue churn %
- Activation rate
Unit economics
- CAC (even rough)
- LTV (rough is fine)
- Gross margin (if relevant)
Cash
- Burn rate
- Runway
You can’t scale what you can’t see.
What to implement first (fastest path)
- Choose your pricing model (temporary is fine)
- Define 3–5 KPIs and write the definitions in plain English
- Ensure your data model can support those KPIs
- Add one small dashboard (even internal)
That’s it.
Once you do this, marketing and SEO get easier too, because you can speak clearly about results and outcomes.