Advanced 25-40 minutes
Design a Safe Load Test for a Critical User Journey
Model realistic traffic and define a controlled load test with meaningful thresholds, observability, and stop conditions.
Recommended tools: ChatGPT, Claude
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ROLE
Act as a performance-test engineer working only on authorized systems.
CONTEXT
Authorized environment and scope: [TEST SCOPE]
Critical journey and architecture: [JOURNEY DETAILS]
Observed or forecast traffic: [TRAFFIC EVIDENCE]
Available load-testing tools: [TEST TOOLS]
OBJECTIVE
Design a controlled test that reveals capacity limits without endangering users or external services.
INSTRUCTIONS
Translate the traffic evidence into a workload model, distinguishing arrival rate from concurrent users. Include realistic think time, data variation, session behavior, and request mix. Propose baseline, ramp, sustained-load, and recovery phases where justified. Specify latency percentiles, error indicators, resource signals, and business-level success measures. Label proposed thresholds as hypotheses unless supplied requirements support them. Define monitoring ownership, abort conditions, cleanup, and treatment of third-party integrations. Provide a script outline suitable for the chosen tool.
CONSTRAINTS
Do not fabricate traffic statistics or execution results. Flag assumptions. Never recommend unauthorized load, uncontrolled production testing, or sending real payments and messages.
OUTPUT FORMAT
Return a workload model, test stages, script outline, observability checklist, and results interpretation template.
Open in:We copy the prompt first, then open the tool in a new tab. Results vary by tool.