You can spend $180K building a course that produces zero behavior change and still not know why. Cash Is Clay closes that gap with a diagnostic first, then execution.
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The learning industry has a blind spot. Hundreds of platforms help you create courses, record videos, and ship content. But when that content fails to produce results, there is no diagnostic framework. No one can pinpoint where in the learning chain the breakdown occurs.
That's the gap we close. A typical 40-course library costs $1.8M/year to maintain. 70% of those courses produce zero behavioral change - that's $1.26M in avoidable spend. Cash Is Clay diagnoses the breakdown, then engineers content that produces measurable behavior change.
Source: internal diagnostic benchmark across enterprise and developer education programs (2024-2025).
Most teams evaluate learning on one axis: did the learner pass the quiz? We start with Kirkpatrick impact levels, then layer Gagne's sequence and Bloom's depth to pinpoint exactly where learning breaks down.
Reaction, learning, behavior, and results. Most teams measure L1/L2 and miss L3 behavior change, where business impact starts.
From gaining attention to retention transfer. Nine cognitive events must occur in sequence for learning to stick. Most content skips several.
Remember, understand, apply, analyze, evaluate, create. Most training stalls at understand. Real behavior change requires apply and above.
Kirkpatrick's four levels of learning impact reveal a brutal truth. The industry has perfected measurement at Levels 1 and 2. Level 3 — where learners actually change what they do — is the gap no one closes. Until now.
You bring domain expertise. We bring learning science plus a diagnostic engine that turns ambiguity into an ordered backlog. Every deliverable is measured at Kirkpatrick L3: not "did they like it," but "did behavior change."
Not sure where to start? Most teams begin with Content Audit and Diagnosis.
Kirkpatrick L1–L4 gap analysis across your entire content library. We surface exactly where learning breaks down — which of Gagné's 9 Events are missing, which Bloom's levels you never reach — and deliver a prioritized fix list. Typical finding: 4 of 9 cognitive events missing → explains the 12% activation rate.
Learning objective mapping, assessment strategy, and practice spread over time (spaced practice). Every module maps to a behavioral outcome — "learner will deploy a production API," not "learner will understand REST." That is the difference between L2 and L3.
Video, podcast, interactive exercises, and labs. Full-stack production from script to publish. Every asset is built on the diagnostic framework — no filler modules, no content for content's sake. If it doesn't drive L3 behavior change, it doesn't ship.
Quarterly health checks, auto-flagged outdated modules, and versioned updates. Your content stays current, effective, and aligned with how your product actually works today.
We audit your existing content across all three dimensions. In under two minutes, you know exactly where learning breaks down.
→We architect curriculum grounded in learning science. Every module maps to behavioral outcomes, not just knowledge checks.
→Full-stack production. Video, labs, docs, assessments. Shipped on schedule with quarterly health checks built in.
"I have 40 course requests in the backlog and no framework to prioritize them. My team measures completion rates while stakeholders want behavior change. Each failed course is $45K–$180K thrown at the ropes."
"I'm defending a $2M training budget to the CFO with satisfaction surveys and quiz scores. They want ROI. I have zero Level 3 data. Audit prep eats 8 weeks and the deliverable is a PDF nobody acts on."
"50K monthly doc visitors. 6% activation rate. Developers read the quickstart, finish the tutorial, and never ship with the tool. My content team feels productive but the needle isn't moving."
Most teams do not have a tooling problem. They have an evidence problem. We are usually brought in when completion rates look fine but activation, adoption, or on-the-job behavior still misses target.
We built this after getting it wrong ourselves; the method comes from fixing our own misses first.
Built the diagnostic engine from the ground up. Software engineer turned instructional designer who discovered the L3 measurement gap firsthand. Creator of Chai With Jai on YouTube - ships educational content and stress-tests learning frameworks in public.
Former PM at Coinbase with deep enterprise GTM expertise. Lacy brings the product discipline and go-to-market instinct to turn a diagnostic engine into a scalable offering. She turns research into execution and keeps the work anchored to business outcomes.
Cash Is Clay mapped our content to Kirkpatrick and showed exactly where activation was breaking. We left with a ranked fix plan our team could execute the same week.Director of Developer Education, Series B infrastructure company
Start with a 30-minute diagnostic call. We review one live asset, map where behavior change breaks, and show what to fix first.
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