Experiencing Slowness in Your App? Use This Simple Checklist to Diagnose and Fix
App feeling sluggish? Pages hanging? API taking ages to respond?
Performance issues aren’t just annoying, they’re a silent killer of user trust. But before you start rewriting everything, slow down (ironically!) and go through this fast, focused checklist with follow-up explanations.
Whether you're a startup or scaling company, this method will help you pinpoint slowness and ship fixes that matter.
💡 The Signal vs Noise Action Plan
Don’t guess. Go methodically:
🧭 Start With Logging and Metrics
You can’t fix what you can’t see.
Bonus tip: Turn on structured logging with trace IDs to follow requests end-to-end to more quickly pinpoint issues.
🧠 Make Sure Your Code Makes Sense
After looking at logging, start with what you control.
Keep an eye out for overly synchronous code. Async logging and batched external calls can drastically cut response time.
📦 Payload Too Big? Compress It
Bandwidth still matters.
Compression + pruning = instant wins.
⚡ Can You Cache It?
Caching is one of the most powerful tools you have if used correctly. When exactly to bust a cache can be a difficult problem to solve but finding solutions that are "good enough" for most cases can deliver significant improvements for the average user.
Not everything should be cached, but almost everything worth caching definitely isn’t cached yet.
📉 Paginate Large Responses
You don’t need to send all the data all the time.
🛠 Performance isn’t magic, it’s a continuous process. Most performance wins are boring and incremental. But when your app feels fast and your users are happy, boring starts to look pretty brilliant.
Have you recently optimized your app’s performance? What’s one change that made the biggest difference?
👇 Drop your best debugging tip or favorite optimization win in the comments.
Solving Expensive Problems | Product Management
1moGreat checklist — and here’s the systems truth: Slowness is rarely local. The root cause is usually architectural, not technical — an overloaded feedback loop, a missing flow control, or an org that scales code faster than it scales learning. If you’re fixing performance without reviewing how decisions and feedback move through your team, you’re tuning the engine without checking the driveline. Questions I’d want any team to ask during these fixes: • What signal were we missing that allowed this to go undetected? • How often are performance regressions caught before the customer sees them? • Do we log not just slowness, but why the fix didn’t happen earlier? Your app doesn’t just need to be fast. Your team needs to be fast at learning.