Performance Test Plan Template - Free Download & Example
Download our free performance test plan template. Includes load test scenarios, KPI definitions, test environment setup and reporting format. Optimise your application.
Performance testing is critical to ensure your application performs reliably under expected and peak load. This template provides a complete structure for planning and executing performance tests, with sections for objectives and KPIs (response time, throughput, error rate), test scenarios (load, stress, soak, spike), test environment configuration, test data preparation, tool selection and reporting. By testing performance early in the development process you avoid costly bottlenecks that only surface in production.
Variations
Load Test Plan
Template for load tests that test the system under expected normal and peak load with gradually increasing user counts.
Best for: Suited for most web applications to validate that the system performs within defined SLAs under expected traffic.
Stress Test Plan
Template for stress tests that push the system beyond expected limits to determine the breaking point and recovery capability.
Best for: Ideal for identifying system limits, bottlenecks and the degree to which the system degrades gracefully under extreme load.
API Performance Test Plan
Template specifically for API performance testing with endpoint-specific benchmarks, concurrency tests and database query performance measurements.
Best for: Perfect for backend teams that want to measure and optimise the performance of individual API endpoints under various load patterns.
How to use
Step 1: Download the performance test plan template and define the objectives: which KPIs must be met (e.g. P95 response time < 200ms, throughput > 1000 req/s). Step 2: Identify the critical user flows to be tested: registration, login, search, checkout and other high-traffic scenarios. Step 3: Configure the test environment to mirror the production environment as closely as possible in terms of hardware, software and network configuration. Step 4: Prepare realistic test data: sufficient unique users, products and transactions to obtain representative results. Step 5: Select the test tool (k6, JMeter, Gatling, Locust) and write the test scripts based on the defined scenarios. Step 6: Execute the tests in stages: baseline test, load test with normal traffic, load test with peak traffic and stress test. Step 7: Analyse the results: identify bottlenecks via response time percentiles, error rates and resource usage (CPU, memory, I/O). Step 8: Document findings and recommendations in the reporting template and schedule follow-up tests after optimisations.
Frequently asked questions
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