Next Move Academy

Create Value, Not Features

A one-week course that replaces the feature-request backlog with ranked value hypotheses: what to build so customers notice the difference — by their criteria, not yours.

$3995 lectures · 9 interactive exercises · 4–6 hours · one working week · agent skills included

The roadmap question isn't “which feature next?” — it's “where does the next unit of customer-noticed value come from?” This course gives that question an algorithm.

What's inside

1. Pick your value mechanic

45 min · 2 interactive exercises

The finite set of ways a product creates noticed value — do the task better by the customer's criteria, remove steps, absorb risk, move up a level. Which mechanic fits your situation, decided by evidence.

Result: The value mechanic for your next bet, chosen by evidence

2. Find your Core Job level

50 min · 2 interactive exercises

What your product does completely, end to end — and what it only contributes to. Five live product demos of getting this wrong and right. Promising a level you don't perform manufactures disappointment; this module finds your honest altitude.

Result: Your product's honest task level, verified with the climb test

3. Climb a level: the AI-era check

40 min · 1 interactive exercise

The question that decides strategy in the agent era: will a player who does the whole task swallow you? The climb test, the cPanel case, and how to tell when moving up a level is the bet.

Result: The verdict on paper: stay at your level or move up — with the reasoning

4. Criteria → metrics

40 min · 2 interactive exercises

Turning customer success criteria into product metrics, so 'value created' stops being a feeling. The bridge between the interview record and the dashboard.

Result: Customer success criteria mapped to product metrics you can track

5. Engineer the Aha

45 min · 2 interactive exercises

The Aha moment is value clearly beating expectation — which makes it designable. Where in your product the first Aha happens now, and how to make it happen earlier and harder.

Result: Ranked value hypotheses — each with the criterion it moves

Who it’s for

  • Your backlog is 200 tickets deep and prioritized by whoever asked loudest.
  • You shipped the most-requested feature and the metrics didn't move.
  • Sales keeps asking for 'just one more integration' and you can't tell strategic from noise.
  • You suspect your product is competing at the wrong altitude — doing a sub-task of what customers actually hire for.

What you leave with

By the end of the week you know which task level your product really competes at, which value mechanic your next bet should use, and you hold a ranked list of value hypotheses — each stated as a measurable criterion a customer would notice, not as a feature name.

  • Your product's task level, verified with the climb test
  • Ranked value hypotheses — each with the criterion it moves and the level it plays at
  • Criteria → metrics mapping: how you'll know a hypothesis worked

Artifacts run on your product and are submitted in the LMS — an artifact about your business, not a certificate of completion.

What your agents get

You learn the method; your agents in Claude Code and Codex get the same algorithms as installable skills. The team that learns is you plus your agents.

nmt-craft-value-proposition

Runs the value algorithm on your segment and Job record: candidate value hypotheses with criteria and the level each plays at — ready for your ranking pass.

Format

4–6 modules, 3–6 hours of content — done in one working week alongside your job. Exercises run on your own product; artifacts are submitted in the LMS as you go.

What it’s built on

The method behind this course is public. This course packages these canon pages into a playbook with exercises:

Value CreationJob GraphJob Structure

What you’re probably worried about

“My stakeholders will keep demanding their features anyway.”

The artifact is your defense: each request either maps to a criterion a customer would notice, or visibly doesn't. You leave with a ranking you can show, not an opinion you have to win.

“We're B2B — buyers hand us literal requirement lists.”

Requirement lists are the mechanism layer. The course's B2B examples show how to trace each requirement to the task and criterion behind it — which is also how you find what's missing from the list that would win the deal.

“This sounds like theory when I need a roadmap by Friday.”

The exercises run on your actual backlog. The ranked-hypotheses artifact is the roadmap input — several teams' Friday roadmap has been the exercise output, unedited.

Take the task off your plate this week

One working week, on your own product, artifact at the end. $399 — one prevented wrong sprint pays for it.

After this task is solvedThe System — collect the whole method, so any next task has an algorithm