What is Mimir?
Mimir is the ultimate solution for product teams drowning in customer feedback. It aggregates and analyzes feedback from various channels—including email, customer support platforms, NPS surveys, and app store reviews—using advanced natural language processing. The AI clusters similar requests, detects sentiment, and automatically suggests feature ideas backed by real user data. Each suggested feature includes a summary of the feedback, the number of users affected, the potential impact on satisfaction, and a draft of the feature description, saving product managers weeks of manual analysis.
Key capabilities include: automatic categorization of feedback into themes; prioritization based on frequency, sentiment, and business goals; generation of detailed feature specifications; and seamless integration with project management tools like Jira, Trello, and Notion. Mimir also provides a collaborative space where teams can vote, discuss, and refine feature ideas directly from feedback insights. The tool updates in real-time as new feedback arrives, ensuring your backlog is always aligned with user needs.
Perfect for startups and enterprises alike, Mimir eliminates guesswork in product roadmapping. It empowers product managers, designers, and developers to build features that users genuinely want, increasing retention and driving revenue. By turning raw feedback into a clear roadmap, Mimir helps teams ship the right features faster and with greater confidence.
Use Cases
Key Features
AI-powered feedback aggregation from multiple channels Automatic sentiment analysis and request clustering Prioritization based on frequency sentiment and business impact Generation of detailed feature specs and epics Integration with project management tools (Jira Trello Notion) Collaborative backlog with voting and discussion Real-time updates as new feedback arrivesWho is it for?
Product managers, product owners, and development teams in startups, SaaS companies, and enterprises who need to prioritize features based on customer feedback.
