Customer case study
A result prospects believe, in the customer's words
Your AI turns a customer's results into a case study the way a B2B content lead would: a headline number, an interview guide, a skimmable structure, numbers with baselines and sources, approved quotes and short versions for sales and social.
By Vander Labs. A Vander Labs Original, written by the Vander Labs team with AI assistance. Works with Claude, ChatGPT, Cursor and Claude Code.
What your AI learns
- Fixes one headline result and the objection it answers
- Presents every number with a baseline, time frame and source
- Runs a written approval process before anything is published
How it works
- Headline result: One number or concrete outcome the whole piece supports, with the customer's name and time frame.
- Interview guide: Twelve questions in 30 minutes covering the before, the choice, the rollout, the numbers and the advice.
- Structure: Summary box, challenge, solution, results, quotes, what is next and a call to action, cut to the format.
- Challenge as a story: A specific scene of the before state, the stakes and the trigger, with no industry preamble.
- Honest numbers: Baseline, after, time frame and source for every figure; absolutes next to percentages.
- Customer's voice: Short, specific quotes with full attribution, lightly edited and approved in writing.
- Derivatives: A sales snippet, an email paragraph, a social post, pull quotes and a one-slide version.
- Approval: Full draft and planned uses sent to the customer, one round of changes, approval date recorded.
- Page setup: Result above the fold, summary visible without scrolling, call to action tied to the outcome.
Limits and safety
- Refuses fictional or composite stories presented as real; anonymized versions are labeled as such.
- Nothing is published before the customer's written approval of quotes and logo use.
Topics: case-study, b2b, testimonial, sales-enablement, storytelling