Your Estimates Are Inconsistent Because Every Session Starts From Zero
Estimation Accuracy Is a Systemic Problem
Research consistently shows that agile teams struggle with estimation accuracy. The issue isn't your team — it's that conventional tools don't preserve the context that makes estimates better over time.
of sprints experience scope or delivery overruns
the same type of work is estimated differently across sprints
historical tickets surfaced in a typical planning poker session
Your Jira history holds the answers. The problem is that nobody looks during estimation.
Why Your Estimates Keep Missing
Estimation accuracy doesn't improve by accident. These patterns are why even experienced teams keep getting it wrong.
Organisational Amnesia
When a senior developer leaves, their estimation instinct goes with them. Nothing in your current tools captures why a 3-point ticket became an 8.
Anchoring & Groupthink
The first person to speak shapes every vote. Without hidden votes and structured discussion, estimation becomes social agreement.
No Historical Baseline
Your team has completed similar tickets before. But nobody searches Jira mid-session to find them, and even if they did, the reasoning is lost.
Confidence Is Invisible
A confident 5 and a guess-work 5 look identical in Jira. Without tracking confidence, you can't tell which estimates need closer attention.
Estimation That Gets Smarter Over Time
Ibis Flow doesn't just run planning poker. It builds your team's estimation intelligence by connecting every session to your actual delivery history.
AI-Powered Historical Matching
Semantic search finds similar past tickets automatically. See what was estimated, how long it actually took, and what risks emerged — before anyone votes.
Confidence-Aware Voting
Every estimate carries a confidence signal. Low confidence with high variance triggers discussion, not a quick re-vote.
Structured Discussion Flow
Hidden votes until reveal. Drag-and-drop reactions flag risks and dependencies. Outlier detection prompts the right conversations.
Context That Persists
Concerns, risks, and reasoning are captured alongside the estimate and synced to Jira. When someone asks 'why was this an 8?', the answer is in the ticket.
How Historical Context Changes Every Estimate
During estimation, Ibis Flow surfaces similar past tickets — showing what was estimated, what actually happened, and what risks were flagged.
Historically similar tickets are surfaced automatically, showing estimates, outcomes, and flagged risks from past work.
From Guessing to Informed Estimation
The difference is simple: when your team can see what happened last time, they make better decisions this time.
Without Historical Context
- Every session starts from scratch
- Senior knowledge locked in people's heads
- Same mistakes repeated across sprints
- Confidence and reasoning not captured
With Ibis Flow
- Similar past tickets surfaced automatically
- Institutional knowledge preserved in tickets
- Patterns and risks visible before voting
- Confidence tracked and acted upon
Built for Serious Product Teams
Plans That Grow With You
Team
Everything a single team needs for accurate estimation. Historical matching, AI insights, Jira sync, and confidence tracking.
Multi-Team
Add prioritisation workflows and cross-team coordination when your estimation practice scales.
Organisation
Portfolio visibility, strategic planning, and estimation calibration across your entire organisation.
Stop Losing Estimation Knowledge
Connect your Jira instance and run your first estimation session with historical context. See what happens when every estimate is informed by real delivery experience.
30-day free trial. Full access. Credit card required but not charged until trial ends.