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What keeps your customers paying?
Find the evidence behind what keeps one customer job worth paying for.
A six-page guide with the full assessment prompt, two worked examples, a real-world test plan and a printable decision sheet.
The first part is open below. The download adds: the full assessment prompt and two risk scales, two worked examples, the alternative test and customer questions, the printable decision sheet.
Free. The link shows here and lands in your inbox. Nothing else.
What's inside
- Use the complete assessment prompt with separate delivery and buying risk scales.
- See two fully worked fictional examples: a dashboard and a plumber.
- Test a credible alternative and ask better customer questions.
- Record the evidence, revised ratings and one decision on the printable sheet.
Start with one reason a customer pays
Write down why you think one customer pays you. Find their actual words from a buying or renewal conversation. Put them beside your explanation. Which part is supported? Which part are you assuming?
Ask the customer one question that checks the biggest assumption. That gives you a first answer about what they value. It does not yet tell you how easily an alternative could replace the result.
The six-page guide takes you through that full assessment. It contains the complete prompt, separate scales for delivery and buying friction, two worked fictional examples, a practical test plan, customer questions and a printable decision sheet.
Read Your moat is moot for the Paper-to-Loupe story. Get the editable assessment kit if you'd rather work in your usual AI chat.
Still to come, in the download
- The full assessment prompt and two risk scales
- Two worked examples
- The alternative test and customer questions
- The printable decision sheet
Free. The link shows here and lands in your inbox. Nothing else.
Who's behind it
Matt Hertel. An engineer who has also run the company. Built and sold apps solo. Fractional CTO in startups. Every Sunday, one job start to finish, in No Manual Yet.
Every Sunday, one job start to finish. Read No Manual Yet
It goes with this issue
More to take
- What can we do now helper kit
Turn a conversation about current practice into an editable list of changes you can act on.
- What can we do now?
Leave with a useful change to test, the evidence behind it and someone responsible for the result.
- AI access check helper kit
Turn settings and test notes into an evidence-labelled decision about one connected AI tool.
- Your moat check: the reusable helper
Get two evidence-backed ratings and a customer test from your own business notes.