You have customer interviews - but no clarity
Notion notes, voice memos, and Slack quotes are everywhere. But no coherent business model emerges.
You are not stuck because you are not smart. You are stuck because signals are messy.
An investor asks about TAM - you guess
You searched, prompted, and patched numbers, but they still feel made up.
Your BMC has been almost done for three weeks
The tab is open. Progress is not.
Mentor says X, podcast says Y, YC says Z
Advice overload creates motion, not decisions.
Why classic approaches fail for founders
What you have tried
What modelaiz does instead
ChatGPT confirms what you already think
Challenges your assumptions directly
Templates create a feeling of completeness
Guides a structured flow with connected outputs
Mentor feedback is contradictory
Builds one consistent decision system
Market data is hard to verify
Uses real-time market data with cited sources
Three moments where founders change course
Before
Our value proposition is clear. We just need to explain it better.
modelaiz showed
We were describing three target groups as one customer.
Result
Rewrote ICP, rebuilt messaging, doubled demo-to-signup rate.
Before
More features will make us more compelling.
modelaiz showed
Only 2 of 11 MVP features addressed the core customer job.
Result
Shipped a focused MVP in 6 weeks instead of 5 months.
Before
I have done interviews. I know what my market wants.
modelaiz showed
Detected a white space segment that was underserved and searching.
Result
Pivoted focus, got first 3 paying customers in 2 weeks.
What you get in 60 minutes
- Idea One-Pager with elevator pitch and USP
- Market analysis with TAM/SAM/SOM and cited sources
- Customer personas with validated pain points
- Value proposition canvas
- Complete Business Model Canvas (all 9 blocks)
- MVP scope definition with prioritized user stories
- Exportable document - ready for pitch or team
Trial availability can vary by phase.