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, quicktype seems to be more popular. It has been mentiond 55 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.
QuickType.io - Quickly auto-generate models/class/type/interface and serializers from JSON, schema, and GraphQL for working with data quickly & safely in any programming language. Convert JSON into gorgeous, typesafe code in any language. - Source: dev.to / 5 months ago
Quicktype automates the generation of code from JSON data. It's a real timesaver when dealing with complex JSON structures in your applications. - Source: dev.to / 9 months ago
Nice! JSON schemas are really useful, we use them a lot for code generation. Another library that does this for multiple languages is https://quicktype.io/ . It's great, but not so actively developed. - Source: Hacker News / 9 months ago
Quicktype is a speedy way to transform JSON data into well-structured, type-safe code in any programming language. Can help simplify the process of generating models and serializers from JSON, schema, or GraphQL—for secure, efficient data handling. 6-20PM finds it a "Godsend to convert JSON into data structures in any language.". Source: 10 months ago
Good candidate modules for these initial conversions are utility functions and code related to external APIs or specifications. It is possible to automatically generate TypeScript type definitions from Swagger contracts, GraphQL or JSON schemas to be included in your project. As well as you can use website called https://quicktype.io/ to generate types and interfaces in order to user them in your tsx or ts file. - Source: dev.to / almost 1 year ago
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