Research is important to product development -- research is also a pain! Conduct AI (or human) interviews with stakeholders/users and automatically generate comprehensive insights, requirements, and prompts at scale.
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@mike_78 @jon_heinrich Really interesting product! I've got a few Qs: 1. What does your LLM stack look like and (something I've been thinking about a lot with our production models) How often are going to be updating and testing that/those models to evaluate both outputs and consistency?
2. Do you have any examples that people could check out in the thread where they used the product to get (to outcome X) - ex. beyond the demo vid - just some screenshots of Step 1 Step 2 Step 3 and being able to really wrap my head around this (as someone on the non technical side).
@dzaitzow We are using a variety of OpenAI models depending on the task. If anyone is interested in more detailed documentation, please join our partners program. We will give you an inside look at some testing we have done. Sign up here: https://colabjetpack.com/video
@mike_78 Will do!
Hi Mike!
Wow, I see great potential in your product. Wishing you all the best, my friend. You definitely have my support! 👍
@gostroverhov Thanks for the support!
Really interesting launch, automating the research-to-insights workflow has huge potential. Collecting qualitative data is easy; structuring it into something usable is where most teams struggle. Excited to see how you guys bridge that gap.
@vik_sh Thanks Viktor. The platform builds a mental model of the application described by the interviewees, asking smarter, clarifying questions as it progresses—making sure not to lead the conversation. It is also trained to find opportunities and, more importantly, to identify and point out gaps or disagreements. This capability allows it to work with the user to create good requirements, which are then turned into prompts.
Congrats on the launch!!!