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Obsidius

Customer feedback, turned into something your team can actually build.

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© 2026 Obsidius. All rights reserved.

Feedback → spec in 30 seconds

Your customers already told you what to build

Your backlog has the answer. It's buried in 200 tickets across five tools. Obsidius reads all of it and writes the spec — before your next standup.

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Sound familiar?

Every PM team has this problem. Most just call it “prioritization.”

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.

1

Connect your sources

Paste or upload CSV. Integrations with Jira, Slack, GitHub, and more.

2

AI finds the patterns

Our multi-model AI engine classifies, groups, and prioritizes automatically.

3

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

5 items

G2, TrustRadius & Capterra reviews

FeatureTrustRadius

“Lack of export capabilities. Lack of flexibility to build scoring equations.”

FeatureG2 Review

“We would like to see greater reporting and analytics capabilities to generate our own insights from the data.”

BugCanny Board

“We lack a visual, time-based overview… have to manually compile data to understand how votes evolve.”

Churn riskCapterra

“Today we have to manually generate reports so they can see the status of all ideas. This should be self-service.”

FeatureTrustRadius

“There are too many conflicting prioritization methods. It could be better tied to business goals.”

Generated spec

L effort

Smart Feedback Analytics & Priority Scoring

User stories

Product Manager

I want feedback automatically prioritized by frequency, recency, and urgency

Operations Lead

I want self-service dashboards that show feedback trends over time

Acceptance criteria

Priority scores auto-calculated from frequency, recency, and urgency weights
Dashboard provides time-series view of feedback trends by category
Reports exportable as CSV with human-readable column headers

Based on 5 market signals

Evidence linked

Works with your existing tools

CSV
Paste
Jira
Slack
GitHub
IntercomSoon
ZendeskSoon
LinearSoon

Your next sprint is already written. You just haven't found it yet.

Connect your feedback sources and get an engineering-ready spec in 30 seconds.

Get started→Contact us