Turn ideas into team-ready tickets — together
Stop bouncing between AI chat, docs, and meetings to refine work your team will question anyway. Ibis Flow Discovery gives product and project managers a complete end-to-end workflow: AI-guided ticket crafting that scores its own quality, and a team collaboration layer that replaces cold estimation with informed, prepared discussion.
The gap between an idea and a ticket your team can act on — that's where delivery slows down.
Every PO knows the feeling: a feature idea that seemed clear in your head becomes vague by the time it's a ticket, and vaguer still by the time the team sees it. You fix it in refinement, which eats sprint time. You fix it in estimation, which extends sessions. Or — worst case — you ship the wrong thing. Ibis Flow Discovery closes that gap: from the first rough idea through AI-guided refinement to team-ready output that carries its own context.
From rough idea to team-ready ticket
Under 10 minutes
A structured exploration that works through the problem, the UX, the edge cases, and the acceptance criteria — with quality scoring after every round. When the session closes, you have a ticket your team can read, discuss, and estimate without rebuilding context from scratch.
One workflow. Three phases. From idea to delivery.
Discovery is built around the natural journey from spark to shipped work. Each phase adds precision without discarding what came before.
Ticket Craft
Explore, deepen, and refine — with quality feedback built in
Start with a title — or a half-formed thought. AI analyses your product context, your team's domain, and similar tickets from your history, then runs a structured multi-round interview. Each round deepens the spec from a different angle: discovery, UX, technical breakdown, acceptance criteria. After every round, a five-dimension quality score tells you where the spec is strong and where the gaps are — so you know when you're actually done.
- Start from a title, a rough description, or an existing backlog item
- AI grounds every question in your team's domain, product context, and ticket history
- Five-dimension quality scoring after every round — clarity, scope, AC, edge cases, implementability
- Context autofill: enter your website URL and AI researches and fills your product context in seconds
- Works on mobile — refine a ticket on the train, in a meeting, in under five minutes
Team Prep
Brief your team, gather feedback, apply AI synthesis
When the ticket is strong enough, release it to your team with a curated briefing. AI drafts the brief from your private signal cards — you edit it before anyone sees it. Team members discuss, flag complexity, and surface risks asynchronously. When you're ready, trigger AI synthesis: it reads your briefing, the team's comments, and your curated signals to propose concrete ticket improvements. Review changes in a diff view and apply what fits — you stay the author throughout.
- AI-drafted briefings you edit before publishing — the team never sees raw AI signals
- Async discussion thread scoped to your team — no live session required
- AI synthesis turns briefing + team comments + signals into concrete proposed changes
- Diff view review — accept or reject each change individually, with full context
- Full lifecycle: Draft → Active → Closed → Applied
Estimation
Estimate together — your team already knows the ticket
The team arrives having already read, discussed, and questioned the work. The estimation session focuses on sizing and delivery trade-offs — not on reconstructing the problem from scratch. Real-time votes, confidence signals, and discussion sync back to your backlog in one click.
- Team arrives briefed — not cold
- Sessions focus on trade-offs and delivery decisions, not basic clarification
- Estimates, reactions, and discussion sync back to your backlog in one click
Why this is different from asking AI to write a better ticket
Generative AI can produce a cleaner sentence. That is not the hard problem. The hard problem is going from a rough idea to a ticket your whole team — engineers, PO, and stakeholders — can estimate, challenge, and deliver with confidence. That requires context, iteration, collaboration, and a clear quality signal. Ibis Flow connects all of them.
Structured exploration, not a blank prompt
AI leads a multi-round interview based on your product context, your team's domain, and similar past work. You pick what to explore next. Quality scoring after each round tells you exactly what improved and what still needs work.
Built on your own institutional knowledge
Similar tickets from your backlog surface automatically — what was estimated, what actually shipped, what risks emerged. Every new ticket benefits from the team's accumulated experience, not just the AI's general knowledge.
Your team is part of the story
Ticket Craft ends where Team Prep begins. Release your work to engineers and stakeholders with an AI-drafted briefing you curate. They discuss, question, and contribute asynchronously — before anyone enters an estimation room. AI synthesis turns that conversation into concrete ticket improvements for your review.
Connected end to end — no rebuilding context
The refined ticket feeds directly into prioritisation and estimation. No copy-paste, no manual handoff. Everything from the craft session — questions explored, directions taken, team feedback — lives with the work.
See it in action
The complete workflow, in five moments
From setting up your context in minutes to shipping a ticket your team helped shape — five concrete moments in the Discovery workflow.
Step 1
Set up product context in minutes, not days
Enter your company name and website URL. AI uses Bing grounding to research your product, market, tech stack, and team conventions — then fills your product context automatically. Every craft session is grounded from the first question.
Quick Context Setup: company name and URL entered; AI-researched and autofilled product context shown.
Step 2
Start with focused answers — not a blank rewrite
AI asks targeted questions grounded in your product context and similar tickets. You add the missing context your team will actually need. No prompt crafting, no blank page — just the right questions at the right moment.
First round: targeted AI questions answered against the live ticket before a spec is generated.
Step 3
Know when your spec is strong enough — after every round
A five-dimension quality score card appears after each round. Problem Clarity, Scope, AC Quality, Edge Cases, Implementability — each rated Poor / Fair / Good with delta indicators showing what improved. Gap suggestions tell you exactly what to address next.
Quality score card showing five-dimension ratings with improvement deltas after a completed round.
Step 4
Write the briefing — then publish to your team
When you release a ticket, AI drafts a structured briefing from your private signal cards. You see the signals — complexity, risks, open questions — alongside an editable rich-text briefing. Your team sees only the polished, PO-authored version. The AI signals are always private.
Team Prep: PO briefing editor with AI signal cards in the private sidebar — briefing not yet published.
Step 5
Team discussion — before the room fills up
Once you publish the briefing, team members join the discussion on their own schedule. They see the ticket, your briefing, and a threaded comment view that supports one level of replies. They flag complexity, raise questions, and reply to each other — all asynchronously, all before estimation.
Team Prep discussion thread: threaded comments with replies — team members and PO in conversation.
Built for every role in the team
Discovery is a workflow, not a PO-only tool. From the first rough idea to the estimation session, every team member has a place in the flow.
Product Owner
Shape the spec and own the outcome
From first idea to team-ready ticket — with AI assistance and full editorial control throughout.
- Run multi-round AI crafting sessions from a title or a rough idea
- Score spec quality after every round and know when you're done
- Set up product context from your website URL in under a minute
- Write the team briefing — edit the AI draft before publishing
- Review AI synthesis and accept changes through a diff view
Engineers & Stakeholders
Contribute before the room fills up
Read the PO briefing, flag your concerns, and arrive at estimation informed — no extra seat required.
- Receive a curated PO briefing — not raw AI output
- Ask questions and flag complexity in a shared async thread
- See the ticket, the context, and the open questions — all in one place
- No additional subscription seat required for team participation
What changes when the team shapes the work before estimation
When every team member has contributed before they walk into the room, every downstream decision improves.
- Work reaches estimation with the exploration, context, and team input already embedded — not locked in a side doc or someone's memory.
- Estimation sessions focus on sizing and trade-offs, not on reconstructing the problem. Sessions run faster. Consensus comes earlier.
- Product, engineering, and delivery share a common understanding built during prep — not assembled live under time pressure.
- Accessible to any PM, not just the most technical person. No prompt engineering, no custom workflows, no learning curve.
Complete the loop
Discovery matters most when it feeds the next decision
Use Discovery to craft and refine the work — then carry it into prioritisation to decide what matters most, and into estimation where the team sizes it together. One connected workflow from idea to delivery.
From rough idea to team-ready ticket — start today
Start a free trial and take the whole workflow for a spin: craft, brief, discuss, synthesise, and estimate — all in one place.