The Engineering Case Study Template: Documenting Measured Results
A project case study that documents measured results — not adjectives — is the most powerful trust asset a lighting manufacturer can publish, and a consistent template turns every completed project into evidence that wins the next bid and earns AI citations. In an industry crowded with marketing claims, documented numbers are what credibility actually looks like.
This reference covers why measured case studies matter, the template, and how to make each AI/SEO-ready.
Why measured case studies matter
"We deliver great lighting" is a claim; "we delivered 52 maintained footcandles at 2.1:1 uniformity and cut energy 58%, with payback in 4.3 years" is evidence. Documented, numeric results are the E-E-A-T signal (experience, expertise, authoritativeness, trust) that separates a credible manufacturer from a catalog — and they're exactly what AI search engines cite, because they're specific and verifiable.
The template
| Section | Content |
|---|---|
| Project & client | Facility, location, class of play, sport |
| Challenge | Old metal halide, glare complaints, dark spots, broadcast need |
| Solution | Fixtures, pole/layout, controls |
| Measured results | Footcandles, uniformity, spill, energy reduction, payback — prediction vs commissioned measurement |
| Proof | Before/after photos, photometric plot, client quote |
| Outcome | The result for the client |
The measured results row is the heart of it — and pairing the prediction with the commissioned measurement demonstrates that the design delivered what it promised.
Make it AI/SEO-ready
Open with a concise results summary, use clear headings, include a data table, and add Article schema with a real author and date. Publish three to start, then add one per completed project — using real, verified data only. Fabricated or rounded-up numbers destroy the trust the format is meant to build, so the discipline is non-negotiable. Duvon publishes documented project results.
Frequently asked questions
Why do measured case studies matter?
Numeric, documented results are evidence, not a claim — the E-E-A-T signal that separates a credible manufacturer from a catalog and earns AI citations.
What is the template?
Project & client, challenge, solution, measured results (prediction vs commissioned), proof (photos, plot, quote), and outcome.
How do you make it AI/SEO-ready?
Lead with a results summary, use clear headings and a data table, and add Article schema with a real author and date.
How many should we publish?
Start with three, then add one per completed project, always using real, verified data.
Can we use estimated numbers?
No — use only real, verified, commissioned data; fabricated figures destroy the trust the format builds.
See documented Duvon project results. View them at duvonlighting.com/projects.