Build a clear service offer

You will leave with a one-page service offer

This is what you produce. The result at the top of the page is what it is for. These fields carry into the next guides:

• Offer ID offerId
• Who it is for audience
• Result you can control outcome
• Deliverables deliverables
• Not included exclusions
• What the client provides clientInputs
• Evidence behind claims proof (optional)

Before you start

Bring:

• Customer evidence, or assumptions clearly marked as untested
• What you can actually deliver
• How much delivery capacity you have

Tools: A chat AI tool that accepts pasted text. No named products are recommended here; tools you already use are often enough. If you need to look further, see Useful external links.

Steps

1. Name the buyer and the problem

   AI can helpRephrases the problem in the words customers used in your notes.

   You decideConfirm it matches what real customers said, not what you would like them to say.

   Output: Buyer and problem statement

2. Choose a result you can control

   AI can helpSeparates deliverables you control from outcomes you can only hope for.

   You decideDecide the promise. Leave hoped-for outcomes as possible benefits.

   Output: Offer promise

3. Set deliverables, exclusions and client inputs

   AI can helpDrafts the lists and suggests exclusions buyers often assume are included.

   You decideDecide the boundaries and write them plainly.

   Output: Scope section

4. Check delivery effort with whoever delivers

   AI can helpLists questions about effort, dependencies and capacity. It does not estimate your hours.

   You decideEstimate effort from your own experience and confirm capacity.

   Output: Delivery assumptions

5. Check every claim against evidence

   AI can helpLists each claim made in the draft.

   You decideSupport each claim with a source, or remove it.

   Output: Claims checked

6. Test comprehension with buyers

   AI can helpDrafts five questions to test understanding.

   You decideRun the conversations and record what people got wrong and why they said yes or no.

   Output: Comprehension notes

Prompt to copy

Paste it into the AI tool you use, replace the parts in square brackets, and read the result before you use any of it.

Using [customer evidence], [our capabilities] and [capacity], draft three versions of a service offer. For each include customer, problem, intended outcome, deliverables, exclusions, client responsibilities and unanswered questions. Label assumptions. Do not invent credentials, case studies, demand, prices or guaranteed results. Recommend one draft based on clarity and feasibility and explain the trade-offs. End with five questions to test with customers.

Template: One-page service offer

Check before you use it

If any of these fail, the output is still a draft.

• The scope is specific enough that two people would deliver roughly the same thing.
• The person who will deliver it has confirmed it is feasible.
• Every claim has a source, or has been removed.
• A buyer can understand the exclusions without asking.

• The scope is specific enough that two people would deliver roughly the same thing.
• The person who will deliver it has confirmed it is feasible.
• Every claim has a source, or has been removed.
• A buyer can understand the exclusions without asking.

Common mistakes

• Launching a menu of many offers before one is clear.
• Promising revenue or growth outcomes you do not control.
• Letting an AI draft add credentials or case studies you do not have.

Measure it: buyer comprehension

Test conversations where the buyer explains the offer correctly, out of all test conversations, plus the reasons people gave for yes or no.

Baseline first. Before changing anything, ask two people to explain your current offer back to you and note what they get wrong.

Use this next

• Check pricing and delivery economicsNot in the library yet. Planned once a qualified specialist has reviewed it (pricing and delivery economics). Until then, keep your checked output from this guide ready for it.Carry forward: offerId deliverables exclusions. Use the version the delivery owner agreed, not an earlier draft.
• Write a positioning statementNot in the library yet. Until then, keep your checked output from this guide ready for it.Carry forward: audience outcome proof. Carry only claims that have evidence.
• Structure discovery and proposalsNot in the library yet. Until then, keep your checked output from this guide ready for it.Carry forward: offerId audience deliverables exclusions clientInputs. Check exclusions are written in words a buyer understands.

Plan your next step

A short worksheet: result, why it matters to you, baseline, finish line, first action, owner, review date, AI role and human check. Suggestions from this guide are included to get you started.