Performance Testing Report
Part of the QA Testing Roadmap
In short
Running a load test is the easy part. Explaining what the numbers mean and what the team should do next is what makes a performance report worth putting in your portfolio.
A full performance test report on a real or practice application — test plan, execution, results analysis, and a clear recommendation, showcasing Phase 10's skills end to end.
Think of it like this
The treadmill health check-up
A doctor puts you on a treadmill, slowly raises the speed and watches your heart rate. Then she writes one clear line: 'fit up to this level, avoid that'. Your report does the same for an app under load.
Watch it happen
From goal to recommendation
1/5Set a measurable goal, like '95% of product page requests under 800 ms with 50 users'.
The big ideas
What you need to know
Goals first
Without a target, numbers are just numbers. Agree on response time and error-rate goals before testing.
Percentiles, not averages
p95 means 95% of requests were faster than this. Averages hide the slow requests users hate.
Executive summary
Open the report with three lines a manager can read: result, risk, recommendation.
Permission matters
Only load-test systems you own or are allowed to test. A load test can look like an attack.
See it in code
Walk through the code
1import http from "k6/http";2import { check, sleep } from "k6";3export const options = {4 stages: [5 { duration: "1m", target: 50 }, // ramp up to 50 virtual users6 { duration: "3m", target: 50 }, // hold7 { duration: "1m", target: 0 }, // ramp down8 ],9 thresholds: { http_req_duration: ["p(95)<800"], http_req_failed: ["rate<0.01"] },10};11 12export default function () {13 const res = http.get("https://staging.example.test/products");14 check(res, { "status is 200": (r) => r.status === 200 });15 sleep(1);16}1/3The load shape: ramp up, hold steady, ramp down.
Run with k6 run load.js against your own test site. Thresholds turn your goals into a clear pass or fail.
Save yourself the pain
Common mistakes
Oops
Pasting raw tool output and calling it a report.
Do this instead
Add a summary, graphs with labels, a verdict against the goal and clear recommendations.
Oops
Reporting only the average response time.
Do this instead
Report p95 or p99 and the error rate. Averages make a slow system look fine.
Your mission
Mini load test
Quick check
Average response time is 300 ms but p95 is 4 seconds. What does that tell you?
Go deeper
- 1Design and execute a load test against a practice application using JMeter or k6.
- 2Analyze the results, identifying key metrics and any performance concerns.
- 3Write a report with a clear executive summary and a specific recommendation.
More projects at this stop
Manual Test Case Suite for a Real App
Web Automation Framework Project
API Automation Testing Project
Mobile Automation Project
CI/CD Integrated Test Suite
Portfolio Website or GitHub Showcase
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