Transparency and clear priorities for Quality-Management

With m-pathy UX Insight G4 you are able to reproduce bugs and usability problems at any time and know exactly how many users are affected.

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Qualitätsmanagement

Reproduce quality problems with user videos
Reproduce quality problems with user videos
Recording and playback of all interactions (clicks, scrollings, mouse movement, keyboard input, touch gestures) in realtime.
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Reproduce technical problems
Reproduce technical problems
Support requests can be analyzed with the matching session recordings to find and resolve bugs easier and quicker.
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Identify weaknesses save and quick
Identify weaknesses save and quick
Direct linking of the statistical data with a qualitative analysis through of drill-down into single sessions to identify weaknesses quickly and safely.
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Quantification of problems
Quantification of problems
The extensive filter mechanism of m-pathy makes it possible to quantify any problems to prioritize them.
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Quality Monitoring

Find bugs faster with the powerful segmentation features of m-pathy. Our video playback enables your IT to easily reproduce the situation leading to a specific technical problem. After that, you can immediately quantify the bugs for prioritization.

 

An example of a bug search in the basket of meine-hochzeitsdeko.de. All users who received the error message and didn’t reach the confirmation page are filtered (in total 319 users). After that, we take a closer look into the sessions to figure out why the users abandon. In this case, users leave after they receive an error message saying „Please activate your cookies“. With an exact number of 230 cases, this problem can be prioritized.

Case Study Allianz
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Our clients

All References
Through the detailed analysis results of m-pathy we have been able to see how our readers actually behave in important areas of the page. These insights have made ​​it possible to align our offering much better with the needs of our users. The combination of behavioral data and the subjective evaluation from the users within the analysis have been particularly helpful.
Frank L. Niebisch - Digital Business, Team Leader Projects & Site Operation bei Handelsblatt
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