Estimation sessions your whole team loves
Real-time collaborative estimation — with Jira integration, AI ticket briefings, and one-click sync. Get accurate estimates faster, with less friction and more team alignment.
Estimation shouldn't feel like admin
Most teams waste 30–45 minutes per sprint grooming session on logistics: sharing screen, reading ticket descriptions aloud, recording votes in a spreadsheet, manually updating Jira. Ibis Flow removes all of that — so sessions stay focused on the discussion that actually matters.
Step 1 — Setup
Import from Jira in seconds
Connect Ibis Flow to your Jira workspace once. After that, start a session by selecting a board and picking the tickets to groom — ticket details, descriptions, acceptance criteria, and labels come through automatically. Edit any field directly in Ibis Flow if the ticket needs updating before the session begins.
Import tickets from Jira in seconds — pick your sprint and go
- Import from any Jira board, sprint, or backlog
- Ticket title, description, and acceptance criteria load automatically
- Edit title, description, or acceptance criteria directly within the session
- Choose your estimation scale: story points, hours, t-shirt sizes, or custom
Step 2 — Vote
Everyone votes at the same time
Team members join the session and vote simultaneously via real-time WebSocket connections — no turn-taking, no anchoring. Votes are hidden until the PO reveals them, keeping estimates independent.
Live voting — every participant votes simultaneously, with no anchoring bias
- Live presence — see who's connected and who has voted
- Optional countdown timer to keep sessions moving
- Works on desktop and mobile — any browser, no install
- Confidence levels — participants flag how sure they are
AI Briefings
Context before the first vote
Ibis Flow's AI Insights surface everything the team needs to estimate accurately — a concise ticket summary, discussion points, risk signals, complexity drivers, and precedents from similar past tickets. All visible before anyone picks a number.
AI briefings give the team shared context before a single vote is cast
- AI-generated ticket briefing from description and comments
- Risk signals and complexity drivers flagged automatically
- Discussion points to spark the right conversation
Step 3 — Finalise
Reveal, discuss, and sync
When votes are revealed, the full distribution is shown instantly — high variance tickets surface disagreement so the team can discuss. Once consensus is reached, the PO sets the final estimate and syncs it to Jira with a single click.
Reveal shows the full distribution — high variance surfaces disagreement instantly
- Full vote distribution visible on reveal
- PO sets the final estimate — no automatic averaging
- Estimates pushed back to Jira story points automatically
- Reactions and discussion summaries synced to Jira — all context stays in one place
- No manual Jira updates — ever
During the Session
React, comment, and keep context
Team members can react to tickets and leave comments throughout the session — capturing the discussion that shapes the estimate. When estimates sync back to Jira, that full context travels with them. Nothing gets lost between the session and the ticket.
- Live reactions and comments during voting
- Discussion summary synced to Jira with the estimate
- Decision rationale preserved — always auditable in Jira
What's next
Now decide what to build first
Estimation tells you how big the work is. Prioritisation tells you what matters most. Use your estimation data to seed a prioritisation session — stakeholders score, you decide, everyone sees the outcome.
Start estimating better today
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