AI Value Proposition Workflow

5 steps to a reviewable draft

1. 01

   Define the buyer context

   State the buyer job, current condition and decision being considered without filling gaps from the seller's assumptions.

   Result: A bounded messaging context.

2. 02

   Assemble approved proof

   List product facts, customer evidence and the conditions under which each result occurred.

   Result: A proof pack with source owners.

3. 03

   Build the message matrix

   Ask for a message only when the provided material supports it, with an explicit limit where it does not.

   Result: A message matrix tied to evidence rather than generic claims.

   Your prompt

   Copy prompt

   Build a sales message matrix. Buyer context: {{buyer_context}}. Approved product facts: {{product_facts}}. Customer evidence and conditions: {{evidence}}. For each row provide buyer problem, supported benefit, proof source, qualifying condition and a discovery question. Mark claims with insufficient proof [UNSUPPORTED]. Do not promise outcomes, savings, adoption or implementation time.

   Example input

   A case study shows reporting time fell after a six-week rollout with a dedicated analyst.

   Example output

   Benefit: faster reporting may be worth exploring. Condition: result depended on a dedicated analyst. Discovery question: what reporting capacity exists today?

4. 04

   Challenge each claim

   Ask a product or customer-evidence owner to approve the source, condition and permitted wording for high-stakes claims.

   Result: A usable set of claims and a clear list of claims to remove.

5. 05

   Apply one message

   Choose the row that fits the current buyer conversation, then use it in the proposal or presentation with its stated limits.

   Result: A buyer-specific message that has a traceable proof source.