
FormLM
AI Form, AI Assessment Report, Assessment Builder
About
FormLM is the assessment platform built for people who sell expertise — consultants, coaches, trainers, and advisors who know their craft inside out but are tired of delivering the same insights one hour at a time.
What you actually get done
Create evaluation scales, application forms, and self-assessment modules in one place. Respondents fill them out; FormLM handles the data collection, runs the analysis, and produces a finished report. Whether it's a business health check, a competency review, a qualification application, or a client diagnostic — you build the form once, and it runs itself from there.
How it works
The pipeline is Form → Scale → Connect → Report → Expert. Design a smart form, attach your professional scoring model, connect data across channels, auto-generate assessment reports, and layer in expert logic for follow-up guidance. Every step lives in the same system — no jumping between tools, no copy-pasting results into a Word doc at midnight.
Why people switch
Building an evaluation scale or a formal assessment application used to mean days of setup and a pile of manual work. With FormLM, you go from idea to a fully functional assessment in minutes. Less time producing deliverables, more time doing work that actually requires you. Your expertise stops being a bottleneck and starts being a product.
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Launch NowFounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
We tried to have one or two max for every product. If you have like seven then you're creating noise and the actual signal is getting lost. Think about like the one or two key things — for RoboKiller it was actually less about what was the user doing, it was more about are they actually getting spam calls and are we blocking calls on their behalf.
Track one or two core engagement metrics per app — seven metrics create noise that buries the signal
Falzon explains that the right engagement metric is not always a user action — for RoboKiller, the product value was delivered passively so the metric was passive too: are calls being blocked, and were any legitimate calls blocked by mistake. The second question (false positives) was the leading churn indicator: when RoboKiller incorrectly blocked a real call, that user churned at high rates. Identifying the one or two metrics that actually predict revenue retention is harder than picking common vanity metrics, but far more predictive.
I had enough in my portfolio to generate enough Revenue that I no longer had to sell an app to keep a pipeline going I now had a consistent Revenue that was coming in month after month which now could pay down all my debts pay the rent and take my family out for dinner.
Recurring App Revenue Replaces The Boom-Bust Build-And-Sell Grind
Adam shifted from building apps to flip them to building a portfolio where each one only had to make $2 to $500 a month. The aggregate recurring revenue replaced the boom-bust sale cycle and finally let him pay down debt consistently.
There's a play for whatever you're stuck on.
Read all 2722 playbooks