
The RRR (Return and Repair Rate), or Return and Repair Rate, is an indicator used to measure the number of products that return from the field due to defect or non-compliance, in relation to the total number of products shipped.
This index is essential to evaluate the quality perceived by the customer, the effectiveness of factory tests, and the robustness of the product in real use. Monitoring the RRR helps identify design, process, component issues, or insufficient testing.
A good FPY reduces internal waste. A good RRR protects your market image.
🧩 How to calculate the RRR?
Example: If 120 units were shipped and 4 returned with defects, the RRR is 3.33%.
⚙️ Classification of returns
Type of return | Technical description |
---|---|
Functional failure | Product does not turn on, does not communicate, presents critical error |
Intermittent problem | Sporadic failure or outside simulated use condition |
Assembly error | Loose parts, poor fixation, visual failure |
Incorrect firmware | Product delivered with incompatible or unfinished version |
Application error | Incorrect use by the end customer (possible design failure) |
🔧 How AJOLLY Testing supports the reduction of RRR
AJOLLY Testing structures traceability, validation, and analysis systems to drastically reduce the return rate, with actions based on real data.
📁 Complete traceability
- Test history by serial number, revision, firmware, and operator
- Quick identification of critical batches and recurring failures
- Integration with after-sales and RMA systems
🛠️ Reinforcement of validation criteria
- Adjustment of tolerances based on real field failures
- Simulation of real use conditions in functional tests
- Generation of SILVER units to reproduce intermittent failures
📊 Monitoring via dashboards
- RRR indicators by customer, batch, family, or firmware version
- Automatic generation of Pareto charts, cumulative return curve
- Real-time alert of recurring failure
With AJOLLY Testing, the RRR is no longer just a post-sales number — it becomes an active tool for prevention, quality, and continuous improvement.