Case studies: what we built and what it changed
NextCTL case studies describe a client's challenge, what we built and the results, in that order. A study is published only when the client has approved it, and every figure carries a stated source. New studies are added here as clients approve them.
Published case studies
The first case studies are being approved.
We publish a study only when the client has approved the story, their name and every figure. Until then we show nothing we cannot stand behind. To see how projects are scoped and delivered today, read our methodology, or ask us for a reference.
What every case study includes
The challenge
What the client needed to change and what was getting in the way, in their words where they agree.
What we built
The system or service we delivered, and the services behind it.
The results
What changed, measured against the baseline agreed at the start.
Sources for every figure
Each number says where it comes from, so you can check it.
How we report results
A case study is not a promise. Results depend on a client's starting point, data and process, so we describe what happened in one project and leave out claims we cannot source.
If you want to know what is realistic for your own case, the methodology shows how a project is scoped and measured, and a short call with the team can map it to your situation.
What is in a NextCTL case study?
The client's challenge, the solution we built, the services involved and the results. Each result figure states where it comes from, so you can check it.
Why are there so few case studies listed?
We publish a study only after the client approves the story, the name and every number. That takes time, so the list grows slowly instead of showing unverified claims.
Can I speak to a past client?
Ask on a discovery call. Where a client has agreed to be a reference, we can arrange an introduction.
How do you measure results?
Against the baseline agreed at the start of the project, using the client's own data. The methodology page explains how projects are scoped, built and reviewed.
Do the results guarantee the same outcome for me?
No. Results depend on your starting point, data and process. A scoping call shows what is realistic for your case.
Case study questions answered
Decide with evidence, not a pitch.
Open a neutral research prompt in the AI you already use. It asks where NextCTL fits, where a freelancer or an in house hire may be enough, and what to verify before you choose.
- 01ChatGPTOpen the NextCTL comparison prompt in ChatGPT (opens in a new tab)
- 02ClaudeOpen the NextCTL comparison prompt in Claude (opens in a new tab)
- 03PerplexityOpen the NextCTL comparison prompt in Perplexity (opens in a new tab)
AI answers can be incomplete. Check nextctl.com/methodology before deciding.
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