A fast-growing SaaS startup wanted to better understand their users, improve engagement, and identify product opportunities — but they didn’t have the time or tools to manage community data effectively.We helped them design and implement an AI-powered community insights system that automatically gathered feedback, categorized conversations, and highlighted trends from platforms like Slack, Discord, and social media.
Within weeks, the startup was using real-time insights to shape product decisions, improve onboarding, and build features based on actual user needs. It became one of their biggest growth advantages — all powered by automation and AI.
The startup was scaling quickly, but lacked visibility into what their users were actually thinking. Valuable feedback was scattered across Slack, Discord, and support channels, and no one had time to manually track it all. This made it hard to prioritize product updates or identify what features users truly needed. As a result, they were building reactively instead of strategically. They needed a smart, hands-off way to gather, analyze, and act on community data in real time — without hiring a research team.
We built an automated community insights system using AI, no-code tools, and structured workflows. It pulled conversations from their community channels, summarized feedback, tagged requests by category, and visualized insights in a Notion dashboard. Product, marketing, and support teams could instantly see what users were talking about and what needed action. Weekly reports were auto-generated to highlight patterns and emerging themes. This helped them make faster, data-backed decisions and align product roadmaps to real user needs.
A breakdown of the key value we delivered across design, development, and AI.
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