AI-powered insights for product teams
Research like a pro with AI: a complete toolkit for doing great product research, loved by teams with and without researchers. Transcribe and analyze interviews, notes, surveys and more by combining AI and the research industry’s top research methods.
Today we’re sharing with the ProductHunt community Notably 2.0, the workspace you’ve always dreamed of for doing product and customer research. Now you can use GPT-4 to do all sorts of heavy lifting across the research journey. From transcribing in multiple languages, to summarizing conversations based on their research purpose (ex discovery interview vs usability test), to suggesting tags, to generating insights from tagged and themed data. Notably makes the skills and speed needed to do great
I'm using Notably for a bit more than a year now and I kinda fell in love with it immediately. It's so delightful to use and makes finding patters in research notes so much easier. Also sharing insights with the rest of the team is easy, useful and not boring at all. I'm exited to try out more of the AI features in the next months and look forward to everything that's coming next :)
Great product and awesome team. Easy to use for customer research across multiple sources.
Beyond a past life as a UX peep — I did spend a decade at an org that was obsesses with sticky notes for meetings to workshops and more. I always did wonder how those gathering them at the end made any sense and got more value out of them. I can see how how all those folks should be signing up for Notably to analyze data and uncover insights. So I've been glad to support @allisongrayce and @bamariefuller for a while now. I'm also excited by and loving their OpenAI/ChatGPT experiment and can see
Notably's biggest flex for me centers around it's fluid workflow and ability to classify data effortlessly. Because I'm often taking my design hat off and diving into research, Notably has encouraged me to adopt more efficient methods when conducting my studies, inspiring some pretty juicy insights and recognition from my peers. Typically after primary & secondary research I'm highlighting key bits in Notably and sending them off to the canvas to group themes, finally exporting to spreadshee
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.