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Module 12 · Lesson 12.5 · 11 min
Picking Your Next Three Use Cases
Use your ROI data to choose the next round of work with a simple scoring method.
Use ← → to move. The marker highlights text and the pencil draws on the slide; navigation locks while you annotate. Undo removes the last mark, Esc exits.
1Collect candidate use cases
List every task still on your Time Map that has not been automated, plus ideas from your team. Aim for 10 to 20 candidates. Include the boring ones, they are often the best.
2Score each one on five criteria
Use the prioritization sheet: hours per month (value), repeatability, data readiness, risk if it goes wrong, and effort to build. Score 1 to 5 each. Risk and effort are scored in reverse, so low risk and low effort get high scores.
3Let Claude challenge your scores
Owners tend to underestimate effort and risk. Ask Claude to review your sheet against what it knows about your business and your existing skills.
Here is my list of candidate use cases with scores (CSV below). Using what you know about my business from CLAUDE.md and the skills we already have, challenge any score that looks optimistic, point out which candidates could reuse an existing skill, and recommend the top three with one sentence of reasoning each.4Pick three, not ten
Choose the top three by total score, with at most one high-risk item. Three is enough to keep momentum and still measure each one properly. Everything else waits for the next quarterly review.
5Document the decision
Write a short note: the three chosen, why, the expected hours saved, and the date you will review results. This note becomes the starting point of your 90-day roadmap in Module 14.
After the first wins, every owner has the same problem: twenty ideas and one pair of hands. The loudest idea usually wins, and the loudest idea is rarely the most valuable.
You now have data. Hours per task, rework rates, costs. Use it. A simple scoring sheet turns a wish list into a ranked plan in fifteen minutes.
Key points
- Score candidates on value, repeatability, data readiness, risk and effort.
- Boring, frequent, low-risk tasks usually win.
- Pick three, measure them, then pick again.
- Write the decision down with a review date.
Avoid
- Starting with the most exciting idea instead of the most valuable one.
- Picking ten projects and finishing none.
- Ignoring data readiness, then discovering the information lives in five spreadsheets.
- Skipping the review date, so nothing is ever measured.
A small law firm listed 14 ideas. The partners wanted an AI contract drafting assistant first. Scoring put it low: high risk and high effort. The top three were engagement letter preparation, court deadline reminders and weekly matter status updates to clients. All three shipped within a month, and the saved hours funded a careful, supervised pilot of the drafting idea later.