Collectif is an AI user research platform for SaaS that automates your research and feedback analysis. Discover insights buried in support tickets, feedback forms, sales calls, and more — in minutes, not days.
What types of data does Collectif analyze? - support tickets, - feedback, - interviews, - sales calls, - reviews, - deal reasons, - churns reasons.
How does it work? Connect the tools used across your company or upload interviews Get automatic transcripts, topic & sentiment labels, summaries, and insights generated by GPT-4 Quickly discover issues and opportunities, or even easier — ask your data questions!
How are insights generated? Each piece of data is analyzed and turned into Highlights (synthesis of information). Highlights are assigned to pre-defined Topics, like specific features or more universal things like Pricing or Customer Support. Once a week, Collectif analyzes highlights, identifying Insights (recurring themes).
Use cases: Prioritize bug fixes based on frequency in support tickets. Speed up interview analysis with transcriptions, summaries, and auto-tagging. Identify usability issues mentioned in support tickets and feedback forms. Review sales call summaries to pinpoint product-related objections. Gain deeper insight into new users’ challenges thanks to sales call analysis. Organize your research and share with other teams with ease. Identify gaps in your customer education program and help users solve their problems. Assess the general experience using sentiment from reviews and feedback forms. Define messaging and information hierarchy based on topic frequency. Find feature-specific feedback and research in a few clicks. Use feedback from lost deals to influence product direction.
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Based on our record, Supabase seems to be more popular. It has been mentiond 439 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
In such cases Supabase is a great open-source alternative to setting up a custom backend, and integrating it into an Angular app is fairly simple, given the existing supabase dependencies like @supabase/supabase-js. The only prerequisite to make it work is initialising a supabase project and generating an API key. - Source: dev.to / 4 days ago
Supabase is a database for storage and authentication - available for free. - Source: dev.to / 11 days ago
In this article, we'll show you how to create a handy web app that can summarize the content of any web page. Using Next.js for a smooth and fast web experience, LangChain for processing language, OpenAI for generating summaries, and Supabase for managing and storing vector data, we'll build a powerful tool together. - Source: dev.to / 13 days ago
I see it differently. In the 25 years I've been working in this industry I see a welcome trend toward doing more in the database, such that the impedance mismatch dissipates: https://gist.github.com/cpursley/c8fb81fe8a7e5df038158bdfe0f06dbb https://supabase.com/ One way to eliminate the Java-SQL impedance (for example) mismatch is to delete Java altogether, along with JOOQ,... - Source: Hacker News / about 1 month ago
My initial, now long abandoned, plan was to use Next/Nuxt to create the front-end and have the back-end be in Python, to allow me to use the recipe-scrapers library, and to use Supabase to organise the database of users and their collection of recipes, and allow the users to enter a list of ingredients and be presented with a selection of recipes from their own curated collection that contained those recipes,... - Source: dev.to / about 1 month ago
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