Your customers already told you
what to build
Obsidius reads your customer feedback from every channel, finds the patterns humans miss, and generates the product specs your team needs to start building.
Sound familiar?
Most product teams are stuck in the “before.” Obsidius gets you to the “after.”
Before Obsidius
- Feedback trapped in 10 different tools
- Hours spent reading, tagging, categorizing
- Roadmap decisions based on who spoke loudest
- Specs that take days to write and still miss context
- No evidence trail linking decisions to customers
After Obsidius
- All feedback in one place, automatically organized
- AI classifies and groups in under 30 seconds
- Priorities ranked by frequency, recency, and urgency
- Implementation specs generated with real user stories
- Every spec linked to the original customer feedback
How it works
Three steps from raw feedback to engineering-ready specs.
Connect your sources
Paste or upload CSV. Integrations with Intercom, Zendesk, Slack, and more coming soon.
AI finds the patterns
Our multi-model AI engine classifies, groups, and prioritizes automatically.
Get implementation specs
User stories, acceptance criteria, and technical approach — ready for your team or AI coding agent.
From market signal to product spec
Real reviews from PM tool users — turned into an implementation-ready spec by Obsidius.
Market signals
Real reviews from users of PM tools on G2, TrustRadius, and Capterra.
“Lack of export capabilities. Lack of flexibility to build scoring equations.”
“There are too many conflicting prioritization methods. It could be better tied to business goals.”
“We would like to see greater reporting and analytics capabilities to generate our own insights from the data.”
“We lack a visual, time-based overview… have to manually compile data to understand how votes evolve.”
“Today we have to manually generate reports so they can see the status of all ideas. This should be self-service.”
Reviews sourced from G2, TrustRadius, Capterra
Generated spec
Smart Feedback Analytics & Priority Scoring
LUser stories
Who needs this and why — extracted from feedback patterns
I want feedback automatically prioritized by frequency, recency, and urgency, so that I can make roadmap decisions backed by data instead of opinions.
I want self-service dashboards that show feedback trends over time, so that our team can track patterns without manually compiling spreadsheets.
Acceptance criteria
Testable requirements your engineering team can build against
Based on 5 market signals · evidence linked
Works with your existing tools
Stop guessing. Start building what matters.
Turn customer feedback into product specs your team can act on.