

Highlight 1
Zond effectively captures a wide range of user interactions, providing a comprehensive overview of usage patterns.
Highlight 2
The frustration tracking feature is invaluable for identifying areas of user dissatisfaction, allowing for targeted improvements.
Highlight 3
By tracking power users, Zond helps highlight advanced use cases which can inform future product development.

Improvement 1
The current integration is limited to OpenAI's logprobs; expanding support to include additional LLM services would increase versatility.
Improvement 2
Enhancing the user interface to improve data visualization could help users interpret the analytics more effectively.
Improvement 3
Expanding the roadmap features, such as the integration with Hubspot/Attio, could improve overall utility and appeal.
Product Functionality
Consider adding customization options for analytics reports to cater to the specific needs of different industries.
UI & UX
Improve the dashboard UI to allow for more intuitive navigation and data visualization tools for easier interpretation of analytics.
SEO or Marketing
Enhance the marketing strategy by creating case studies or success stories detailing how existing users improved their LLM products with Zond.
MultiLanguage Support
Implement multi-language support in the user interface to cater to a global audience and increase accessibility.
- 1
How does Zond capture user interactions?
Zond functions as middleware by allowing you to swap out your LLM endpoint. Once integrated, it starts capturing and analyzing every interaction with the LLM.
- 2
What types of analytics does Zond provide?
Zond provides several key analytics including clustering of user interactions, frustration tracking, power user analytics, confidence tracking, and overall conversation completion statistics.
- 3
Is Zond compatible with all LLMs?
Currently, Zond supports the OpenAI API for capturing logprobs. Future updates may expand compatibility to other LLMs.