Turn ideas into team-ready tickets — together
Stop bouncing between AI chat, docs, and meetings to refine work your team will question anyway. Story Studio is a complete workflow for shaping ideas into tickets your team already understands: multi-round AI-guided crafting with quality scoring after every round, and a team review layer that means no one walks into estimation cold.
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. Story Studio closes that gap. From first thought to a ticket the team helped shape — without a single meeting.
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 you're done, the ticket explains itself. Your team can read it, discuss it, and estimate it — without you having to be in the room.
One workflow. Three phases. From idea to delivery.
Story Studio follows the natural journey from first thought to delivery-ready. 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 draws on your product context, your team's domain, and similar tickets from your history to ask the questions your stakeholders would ask. Each round approaches the problem from a different angle: scope, UX, technical breakdown, acceptance criteria. After every round, a five-dimension quality score tells you what improved, what's still thin, and 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 Review
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. Your team reads, reacts, and asks questions asynchronously. When discussion settles, ask AI to synthesise: it reads the briefing, the team's comments, and your signals, then proposes concrete changes. You review each one in a diff view and decide what to keep — 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 is about sizing and trade-offs — not catching people up. When you reach a number, one click sends everything back to your backlog: the estimate, the reactions, and the discussion that produced it.
- 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 your product context, your team's history, a quality signal worth trusting, and a collaboration layer that doesn't turn into another meeting. Story Studio is built specifically for that path.
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.
Grounded in your team's own history
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 Review 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 Story Studio 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 Review: 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 Review discussion thread: threaded comments with replies — team members and PO in conversation.
Built for every role in the team
Story Studio 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 catching everyone up. 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
Story Studio matters most when it feeds the next decision
Story Studio shapes the work. Prioritisation picks what gets built first. Estimation puts a number on it. One connected workflow — no handoff meetings, no context lost in transit.
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.