Context.ai product analytics enables builders of LLM applications to better understand user behavior and product performance. This allows you to:

  1. Understand why and how people are using your product. What are they asking for?

  2. Monitor product performance using feedback signals from real users. How well are user needs being met?

  3. Identify areas of poor performance that you can improve. How can you make your product better?

To answer these questions, Context.ai annotates transcripts with topic labels that capture the meaning and purpose of the conversation. Context.ai then scores every conversation using a variety of success metrics. Combining these two allows product builders to groups of transcripts where the product is performing well, and areas where it needs improving.

Integration with our analytics product takes less than 30 minutes. You can get started with our Python or Javascript SDKs, or by calling our API directly.

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