ce-riffrec-feedback-analysis

To analyze product feedback from Riffrec sessions, you can load this Skill and upload your session data. It automatically processes video, audio, and event streams to provide triage and documentation.

Triageing user feedback captured with Riffrec is handled by routing session data to setup instructions, quick bug reports, or extensive analysis. This automates the categorization of captured video and audio inputs.

Yes, you need Python installed to run the analysis scripts for Riffrec feedback. Additionally, an OpenAI API key is optionally required if you want to utilize media transcription for audio and video data.

Yes, you can generate a quick bug report from Riffrec video and audio data. The Skill evaluates the session event streams and routes the content to a quick bug reporting path for immediate documentation.

The OpenAI API is used optionally for media transcription of Riffrec sessions. Without it, the Skill cannot automatically transcribe audio and video content, limiting the depth of automated feedback analysis.

Yes, Riffrec feedback analysis works directly with event stream data alongside video and audio. It processes these combined inputs to extract product feedback and route it to the appropriate analysis path.