Mimir builds a living understanding of your product — no setup wizards, no config forms. Just use it naturally and it gets dramatically better over time.
Most tools start from zero every time you use them. Mimir is different — it builds a persistent understanding of your product, your users, and your goals. Every source you upload, every conversation you have, and every Slack thread you capture adds to a knowledge base that makes everything Mimir does sharper.
There's no onboarding questionnaire or setup form. Mimir learns from how you naturally use it. The more you put in, the more specific and useful its output becomes.
Mimir picks up context from three channels, all automatically and in the background. You don't need to do anything special — just use the product and it learns.
Sources you upload
Every interview transcript, feedback survey, analytics export, or screenshot teaches Mimir about your users, their pain points, and your product landscape. A single support ticket export might reveal user segments, competitor mentions, and feature gaps — Mimir captures all of it.
Conversations you have
Mention your goals, competitors, constraints, or terminology in chat and Mimir picks it up automatically. Say “we're focused on reducing churn this quarter” and it becomes a goal. Say “our main competitor is Notion” and it's added to your competitive landscape. No special syntax — just talk naturally.
Slack threads you capture
Real team discussions captured via Slack integration become part of Mimir's understanding. Product debates, customer escalations, and strategy conversations all feed the knowledge base.
Everything Mimir learns is organized into seven categories that together form a complete picture of your business context.
Company profile
What you do, your stage, your team
Competitive landscape
Who you compete with and how you differ
User segments
Who uses your product and why
Goals & constraints
What you're optimizing for and what limits you
Product state
What you've built and what's known to be broken
Terminology
Domain-specific language your team uses
Metrics
What you measure and what targets you're hitting
Each entry carries a confidence score based on how many independent sources support it. You can review and manage everything Mimir has learned — see the business context guide for details.
This is where it gets interesting. Because Mimir remembers what it learns, every analysis run is sharper than the last. The difference between day one and week four is dramatic.
Day one
You paste in a customer interview. Mimir finds patterns and generates recommendations, but they're relatively generic — “improve onboarding,” “reduce churn.” Mimir doesn't know your users, your goals, or your competitive landscape yet.
After a few conversations
You've mentioned your target market, your primary metric, and a key competitor. Recommendations start referencing your actual situation — “add SSO for enterprise customers” instead of “improve authentication.”
After a few weeks
With a dozen sources and regular conversations, Mimir knows your user segments, your constraints, your terminology, and your goals. Recommendations are specific and actionable — “add a guided setup flow for mid-market SaaS teams who churn within the first week” or “prioritize SSO — three enterprise prospects mentioned it as a blocker.”
Share context in your first few conversations
Even a few sentences about your company, users, and goals dramatically improves output quality. You don't need to be comprehensive — just mention what matters most and Mimir extracts the rest over time.
Upload diverse source types
Interviews plus analytics plus feedback gives Mimir a fuller picture than any single type. Three diverse sources is better than ten of the same kind.
Re-analyze after adding new sources
Use /analyze after uploading new material to see how insights evolve with richer context.
Keep the knowledge base clean
Review what Mimir has learned in Settings and delete anything outdated — old competitor info, deprecated terminology, or metrics you no longer track. Clean context produces clean output.