Validation Framework
Know what works before you scale
Most founders scale what feels right instead of what's proven. The validation framework collects real signals from your experiments and builds a go-to-market playbook grounded in evidence.
LinkedIn Outbound
2 experiments
Niche Communities
1 experiment
Content SEO
1 experiment
- Run 5-touch LinkedIn DM sequence to CTOs
- Focus on 50–200 person B2B SaaS companies
- Avoid generic intros — lead with specific pain
How it works
Aggregates across experiments
See patterns across all your experiments. Which channels show early signals? Which messages resonate? The system surfaces patterns so you don't have to connect the dots manually.
Identifies what converts
Know which channels, messages, and audiences generate real responses — not vanity metrics, but signals that predict revenue and indicate product-market fit.
Builds your GTM playbook
Validated moves graduate into a structured playbook. You scale what's proven, not what feels right. Each confirmed tactic is documented with the evidence behind it.
The cost of skipping validation
Scaling a go-to-market strategy that hasn't been validated is how founders burn runway. They hire a content team before they know content works. They run ads before they know what message converts. They invest in a channel because someone told them it worked for a different product.
The validation framework exists to prevent that. By running structured experiments first and collecting real signals, you build a picture of what actually moves the needle for your specific product in your specific market.
When you scale, you're scaling something you know works. That's not a small difference. It's the difference between traction and waste.
See the full system in action
Hypothesis generation, experiment design, and validation work together as one system. Start for free.