Ask Yourself

What It Suggests

Is it slow for everyone, or only under heavy load/traffic?

Constant slowness points to a code/query issue; load-only slowness points to scaling/architecture

Is the frontend slow to load, or is the app slow after it's loaded?

Points to whether this is a page-load issue or a backend/API issue

Have you checked whether it's the database, the API, or the frontend that's actually slow?

Many "slow app" complaints are really one specific layer, not the whole stack

Did this start after a specific change, or has it gradually gotten worse?

Sudden slowdowns are usually traceable; gradual ones are often about data/scale growth

Does it crash under load, or just get slow?

Crashing points to resource exhaustion; slowness alone points to inefficiency

Have you already profiled or measured where time is being spent?

Tells us whether we're starting from scratch or building on existing findings

Category

What It Covers

Page Load & Frontend Performance

Slow-loading pages, poor Core Web Vitals, render-blocking assets

API & Backend Response Time

Slow endpoints, high latency, sluggish server responses

Database Query Performance

Slow queries specifically dragging down app performance

Caching Issues

Missing, broken, or misconfigured caching

Memory & Resource Optimization

High memory/CPU usage, inefficient resource handling

Application Crashes Under Load

App works fine with light traffic but fails when usage spikes

Scalability & Architecture Bottlenecks

The current architecture can't handle growth

Horizontal & Vertical Scaling Setup

Adding more servers/resources, auto-scaling configuration

Asset & Media Optimization

Large images, unoptimized bundles, slow-loading media

Concurrency & Multi-threading Issues

Bugs and slowdowns from parallel processing, async handling

Third-Party Script & Integration Performance

External scripts dragging down performance

Mobile App Performance

App lag, slow startup, janky UI on mobile

What to Share

Why It Helps

What "slow" actually means (load time, response time, crashes, etc.)

"Slow" can mean several different things — this narrows down where to look first

Whether it's constant, or only under load/traffic

Tells us whether this is an efficiency problem or a scaling problem

Any existing performance data (Lighthouse score, response times, monitoring dashboards)

Saves us from re-measuring what you already know

Your current traffic/usage numbers, and where you expect them to go

Helps us right-size the fix instead of over- or under-engineering it

Recent changes (new feature, more users, a deploy)

Most performance issues are traceable to something that changed or grew

Your hosting/infrastructure setup

Determines which scaling options are realistically available to you

Instinct

Why It Doesn't Help

Do This Instead

Upgrading to a bigger server as the first response

Often masks an inefficient query or code path instead of fixing it, and costs more long-term

Profile first to see if the issue is actually resource capacity or inefficiency

Adding caching everywhere without knowing what's actually slow

Can hide bugs, serve stale data, and add complexity without fixing the root cause

Identify the specific slow operation before deciding where to cache

Optimizing the frontend when the bottleneck is actually the backend

Time spent optimizing the wrong layer doesn't move the needle on the real problem

Measure where time is actually being spent before optimizing

Load testing for the first time right before a launch

Leaves no time to actually fix what the test reveals

Load test early enough that findings can still be acted on

Assuming more traffic automatically means you need microservices

Often adds complexity without solving the actual bottleneck, especially at smaller scale

Solve the specific, measured bottleneck first — restructure only if that's genuinely the cause

Ignoring mobile/slow-network performance because desktop feels fine

A large share of real users are on slower connections or devices than the ones you test on

Test under realistic network and device conditions, not just your dev machine

Step

What Happens

1. Tell us what's slow

Describe the symptom — what's slow, when it happens, and any numbers or data you already have

2. We profile and locate the actual bottleneck

We measure where time and resources are actually being spent, rather than assuming based on symptoms alone

3. We fix the real cause, not just the symptom

The fix targets the actual bottleneck — frontend, backend, database, or architecture — and is verified with real measurements before and after

4. We explain what was slow and why

You get a plain-English rundown of what the bottleneck was and what was changed, so you understand the fix, not just see the result

5. We advise on what to watch as you grow

If the fix is a short-term solution given your current scale, we tell you what to plan for next

Question

Answer

Do you need production access to diagnose performance issues?

Often read-only or monitoring access is enough. We'll tell you exactly what's needed before starting.

Can you help before we launch, to make sure we can handle traffic?

Yes — pre-launch load testing and scalability review is one of the most common reasons people reach out.

What if the issue only happens under load we can't easily reproduce?

We can help set up load testing to reproduce it safely, without risking your live environment.

Do you work with our specific stack and hosting setup?

Very likely. We work across the major frontend/backend frameworks and cloud/hosting platforms.

Will fixing performance require a big rewrite?

Not usually. Most performance issues are fixable without a rewrite — we'll tell you clearly if a bigger change is genuinely needed.

Is this confidential if it's for a work project?

Yes. We don't contact your employer or client, and an NDA is available on request.