How 1 CPO Uses AI to Deliver a Full Product Team
Learn how Michael Krafft scaled a 250K+ member startup without a product team using AI to automate discovery, prototype faster, and drive 50% more conversions.
TL;DR
In this episode of LaunchPod, we sit down with Michael Krafft, CPO of FoundersCard, to learn how he’s scaled a profitable membership business with more than 250K members by operating as a one-person product team powered by AI.
Here’s what we cover:
How Michael uses AI to run a product org of one at scale (15:17)
His AI-powered discovery engine that turns feedback into roadmap insights (06:06)
Why combining leadership and IC roles lets him ship faster with tools like V0 and Lovable (21:23)
The simple test that boosted conversions by 50% and the experimentation playbook behind it (27:18)
1. Running a Product Team of One with AI (15:17)
Michael uses AI as a force multiplier, allowing him to handle discovery, prioritization, and execution without a large team. Instead of scaling headcount, he scaled leverage.
Things you can do:
Map your tasks by effort vs. creativity; delegate repetitive ones to AI
Use LLMs for PRD first drafts, customer email summaries, and competitor research
Treat AI as your “junior teammate;” it won’t replace judgment, but it will free up hours
2. Automating Discovery with AI (06:06)
Instead of running endless interviews himself, Michael built a discovery engine that automates interviews, segments users, and organizes feedback into themes that feed his roadmap.
Things you can do:
Record and transcribe customer calls, then cluster responses with AI tools
Standardize interview prompts so AI analysis stays consistent
Set up a feedback-to-roadmap pipeline where insights auto-tag into your backlog
3. Blending Leadership and IC Work with V0 and Lovable (21:23)
Michael compresses the product cycle by being both strategist and builder. With tools like V0 and Lovable, he can turn an idea into a prototype in hours, then test with customers before involving engineers.
Things you can do:
Block “builder time” to stay hands-on with prototyping tools
Use no-code or AI prototyping to validate ideas quickly
Collapse strategy and execution. Don’t just hand off specs; test them yourself first
4. The Experiment That Boosted Conversions by 50% (27:18)
One simple experiment nearly doubled paid conversions. More importantly, Michael has a repeatable experimentation framework: quick tests, fast reporting, and applying learnings across the funnel.
Things you can do:
Start with one funnel stage (e.g., paywall or pricing page) and run lightweight tests
Use AI to model likely outcomes and prioritize test ideas
Keep a visible log of experiments (e.g., hypotheses, metrics, and results) to build team memory
Automate reporting so you can focus on insights, not data wrangling
Chapters
00:00 Intro
03:04 How AI Drove Down CAC and Fueled Growth
06:06 Using AI to Analyze Customer Interviews
09:10 Turning Feedback Into Roadmap Insights
12:13 AI-Powered Discovery Engine for PMs
15:17 One-Person Product Team With AI Tools
18:20 Scaling Insights Beyond Human Bandwidth
21:23 Automating PRDs With AI
24:25 From Idea to Prototype in an Afternoon
27:28 Running Growth Experiments With AI
30:31 Conversions, Retention, and AI Testing
33:33 Customer Insights That Shape the Roadmap
36:36 Paid Conversion Boosts With AI
39:37 Final Takeaways for Product Leaders
Links
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