Controller Stick Trace Testing
During controller repair or calibration, record stick traces through standardized motions to pinpoint drift and rebound issues, then export before-and-after evidence.
After replacing a controller stick or calibrating it, repairers face a difficult question: is it actually fixed? Once a USB or Bluetooth controller is connected, the app guides the user through standardized actions: drawing circles, slowly returning to center, snapping back quickly, and holding at the edge. It records stick positions at a high sampling rate throughout, rather than simply showing a dot moving around the screen.
After each session, a trace chart flags idle drift, asymmetric dead zones across the four directions, rebound overshoot, and edge sticking. Repairers can open an anomalous segment to see which repetition and direction produced it. If the same controller was tested before disassembly, the new result overlays the earlier trace to show whether the offset has receded and recentering speed has improved.
The first release includes standardized action templates for common controllers and exportable repair reports. Each report contains the device model, firmware details, raw traces, and before-and-after comparison charts. Shops can give it to customers, and players can bring it to a second repair service. It does not replace teardown diagnosis or claim to identify a failed component from a single curve; it turns “it still feels a little drifty” into repeatable evidence.
Why now
A post on r/ControllerRepair dated August 23, 2026 asked for an app to record stick movement; its author noted that web tools already exist but that a dedicated recording method is still missing. S1 As observed on August 24, the thread had not received a concrete solution, leaving repeatable post-repair evidence as a clear gap. S1
Target user
The core users are repairers who replace sticks, solder modules, or complete calibration. Before working, they need a comparable baseline; once the shell is reassembled, they need to know whether the issue is truly gone. A live dot alone rarely proves that recentering is stable. If a customer still reports abnormal feel, repairers need a repeatable record they can deliver. Individual players can also preserve evidence before and after sending a controller for repair.
Minimal entry point
Use SDL3 on desktop to read common controller axes through a unified interface. Its Gamepad API provides standardized stick mappings and access to individual axis values. S2 The capture loop stores timestamps, left and right stick coordinates, and connection type. Start with four actions: idle, circle drawing, slow recentering, and quick release. Use interpretable rules to calculate center offset, directional dead zones, and rebound overshoot. Pair pre- and post-repair recordings by device and action template, then generate overlays. If firmware details cannot be read reliably, allow manual entry. Support Windows and USB connections first, with Bluetooth differences a priority for compatibility testing.
Punching above its weight
The first users are already in controller repair and modding communities. Offer a free one-off trace test that lets repairers upload anonymized before-and-after overlays. Keep the tool attribution on report pages so reports shared by customers back to shops create natural distribution. Provide several common repair-action templates and invite shop owners to submit de-identified cases. Strong cases can become a fault-pattern library that continues to attract searches for “stick drift test” and “post-repair retest.”
Competitors & gaps
- Gamepadla Stick TracerGoogle
- Gamepadla’s Stick Tracer Web already displays continuous traces and measures drift, circularity, eccentricity, and asymmetry. It also offers guided tests, screenshots, share links, and result pages, providing substantial diagnostic depth. S3 Its public interface appears centered on a single test and its individual result. It does not explicitly link pre-disassembly and post-repair recordings into one repair job, nor does it show a workflow for aligning two traces by action repetition. Repairers must still save results themselves and manually explain which changes came from the repair. The opportunity is not more metrics, but a fixed action sequence, retained raw samples, and customer-facing before-and-after evidence. Reports should also distinguish measured anomalies from possible causes rather than asserting a specific component failure.
- HardwareTester Gamepad TesterGoogle
- HardwareTester’s Gamepad Tester reads button and stick-axis values in the browser. It can check drift and offers stick circularity testing and vibration control. S4 Pages like this are useful for quickly confirming that the system recognizes an input and for viewing its live position. The public page does not appear to save complete motion traces by segment or provide standard procedures for slow recentering and quick release. It likewise lacks repair jobs, before-and-after overlays, and customer reports. Once users see an anomaly, they must still judge from experience whether it can be reproduced consistently. The opportunity is to turn live testing into a repeatable capture protocol: retain a time series for every action and mark its direction, repetition, and anomalous segments. That makes repair results reviewable over time instead of just a moving dot on the spot.
How it makes money
Sell monthly subscriptions to repair shops, priced by number of workbenches. The free tier includes one-off tests and local viewing. Paid plans add pre- and post-repair records, branded reports, template management, and long-term storage. Individual players can buy a low-cost one-time professional report export.
The case against
Axis behavior can vary by operating system, connection type, and firmware. Results from the same controller over USB and Bluetooth may not be directly comparable. Motion speed and grip pressure also affect traces, and unclear template guidance can create false anomalies. False positives may lead repairers to reopen a controller and can intensify customer disputes. Browser update frequency is not the same as a device’s actual sampling rate, so any claim of “high sampling rate” must be made carefully. Device-model and firmware details are often incomplete as well. If results cannot be reproduced reliably, before-and-after overlays will undermine the report’s credibility.