Prompt
Why are my dev tutorials not getting views?
Latest observation
Sep 30, 2026
ChatGPT
Usually it’s not that the tutorials are “bad.” Dev content has a discovery problem: viewers have to immediately understand what problem you solve and why they should click yours.
A few common causes:
- The topic is too broad “Learn React” competes with thousands of videos. “Build a React drag-and-drop file uploader in 15 minutes” targets a specific search/problem.
- The title describes the technology, not the outcome Compare:
- ❌ “Understanding Docker Volumes”
- ✅ “Docker Volumes Explained: Persist Your Database Data”
- The first 30 seconds are too slow Show the finished result/problem first, then explain how you’ll get there. Avoid long intros and setup before giving the viewer a reason to stay.
- You’re targeting developers at the wrong level “Python decorators” means something different to a beginner than to someone building production APIs. Pick a clearly defined audience for each video.
- Search demand ≠ click demand Even if YouTube/search surfaces your tutorial, a low click-through rate usually means the packaging—title + thumbnail—isn't compelling enough. If people click but leave quickly, the problem is more likely the content/hook.
- Your tutorials may be too interchangeable Add something distinctive: a real project, an unusual use case, debugging a real mistake, performance comparison, production deployment, or a particularly concise explanation.
A useful diagnostic
Look at your analytics and classify videos like this:
| What you see | Likely issue |
|---|---|
| Very few impressions | Topic/audience/distribution |
| Lots of impressions + few clicks | Title/thumbnail/topic positioning |
| Good clicks + early drop-off | Hook/pacing/content |
| Good retention + little growth | Topic may have limited demand |
| Search traffic but little browse/suggested traffic | Content is useful but not broadly compelling |
If you give me your channel URL (or 3–5 tutorial titles + views/impressions/CTR/retention), I can diagnose the likely bottleneck and suggest specific title/topic changes.