Your winning proposals are case studies you haven’t written yet
Most consultants know they should publish more case studies. They mean to. But writing one from scratch — interviewing the client, assembling the story, getting sign-off — feels like a second project. So it gets pushed back, and the moment passes.
The thing most experts miss is that the raw material is already there. A winning proposal contains everything a case study needs: the client’s problem, your diagnosis, and the approach you took. The transformation from proposal to case study is a reframe, not a rewrite — and that’s exactly what AI is good at.
This post walks through a simple AI prompt that turns a winning proposal into a strong first draft case study in around five minutes, including sample testimonials and photography notes to support it.
Why the proposal already contains the case study
A proposal written to win a project typically includes three things a case study needs: a clear description of the client’s problem, a diagnostic rationale for why the problem exists, and a structured approach to solving it.
The difference between a proposal and a case study is largely one of tense and framing. A proposal says “we propose to identify the root cause and implement X.” A case study says “we identified the root cause and implemented X.” AI handles that shift cleanly — it reads the intent in the document and restructures it accordingly.
This matters practically. Rather than starting from a blank page weeks or months after a project ends, you can run this prompt immediately after winning the work — while everything is still fresh.
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How the prompt works
The prompt works with ChatGPT, Claude, or Gemini. When you run it, the AI will:
- Ask you to upload the proposal
- Read through it and extract what it can directly — the client context, the problem, the approach
- Ask only what is genuinely missing — typically the actual project outcome, and whether the client name should be used or anonymised
- Produce a structured case study, three draft testimonials, and photography notes
For the outcome section, specific numbers work better than general statements. “Improved completion rates by 30%” is more persuasive than “improved performance.” If results are not in yet, the prompt handles that — it describes what the engagement was designed to achieve and flags where you will need to fill in the data later.
The draft testimonials
Alongside the case study, the prompt generates three draft testimonials — short, medium, and detailed — written in first person as if from the client. These are not meant to be published verbatim. They are designed to be put in front of the client with a simple ask: “Can we say something like this?”
Most clients will sign off a draft testimonial far more readily than they would write one from scratch. The prompt produces three versions at different lengths and angles, giving you options for different contexts — a website page, a LinkedIn post, or a proposal pack.
Photography notes
The prompt also suggests three or four types of photographs worth capturing with or of the client — moments that would bring the case study to life on a website or LinkedIn.
The value here is timing. If you run this prompt immediately after winning the project, the photography notes give you a practical checklist for your next client meeting or site visit — while the project is still in progress, not after it has finished and the opportunity has gone.
A useful habit to build
The bigger shift this enables is treating “we won the project” as a trigger for a 20-minute case study drafting session, rather than a task to schedule and never quite get to.
Most consultants with a healthy pipeline are sitting on several unpublished case studies they have not written. The constraint is not material — it is process friction. A prompt that removes the blank page problem, handles the confidentiality question, and produces draft testimonials in one pass significantly reduces that friction.
Download the prompt using the link in the description of the video above, try it on one of your more detailed winning proposals, and see what it produces. The more diagnostic reasoning the proposal contains, the richer the case study will be.
