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Most estimation tools focus on the vote. They act as digital whiteboards, relying entirely on human memory to estimate accurately. Ibis Flow focuses on the conversation, using AI to bring your team's historical delivery data—from Jira or Azure DevOps—directly into the session.
Ibis Flow uses semantic embeddings to surface similar past tickets and delivery risks—from Jira or Azure DevOps—directly in every estimation session. AI explains what happened before so your team estimates with evidence, not guesswork.
Whether your teams use Jira, Azure DevOps, or are migrating between the two, Ibis Flow provides a single, consistent estimation and prioritisation workflow. No tool-switching. No duplicate systems.
Flat, transparent pricing that doesn't penalise you as your organisation scales. No per-active-user fees. No billing surprises.
| Tool | Designed for | Choose Ibis Flow when | Price/Year (at ~50 users) |
|---|---|---|---|
Appfire Planning Poker® Jira-locked estimation plugin A straightforward Jira-only planning poker tool focused on live voting. No support for Azure DevOps. | Teams want simple, synchronous estimation. Estimation is treated as a lightweight ceremony. Jira is the only tool in use. | Your teams use Jira, Azure DevOps, or both. Estimation should surface historical risks and delivery patterns, not just reach a consensus number. | $1,390View pricing |
Appfire Agile Poker for Jira Jira-locked estimation toolkit A multi-method estimation tool with capacity and velocity calculators. Locked to the Atlassian ecosystem — no Azure DevOps support. | Teams want multiple estimation techniques within Jira. Focus is on velocity, capacity, and Atlassian-native metrics. | You need a consistent estimation workflow across Jira and Azure DevOps. Estimation should surface AI-driven historical context, not just present method options. | $1,745View pricing |
Magic Estimations Jira-locked estimation plugin (async) A flexible estimation tool offering async and affinity-style sizing. Jira-only — no cross-platform support. | Teams want asynchronous or silent estimation formats. Jira is the only delivery system in use. | The goal is shared understanding, not parallel votes. Teams want AI-driven historical evidence from Jira or Azure DevOps, not isolated opinions. | $600View pricing |
Parabol Mechanical facilitator — agile ceremony suite An all-in-one tool for sprint poker, retrospectives, and standups. Broad tooling with no AI historical context. | Teams want one tool for all agile ceremonies. Facilitation is the priority. Estimation is treated as a lightweight ritual, not a knowledge-transfer exercise. | Your system of record is Jira or Azure DevOps and estimation must reflect real historical delivery data. You want AI to surface scope risks and similar past work, not just a digital voting card. | $4,800View pricing |
Pricing shown at closest available tier. Verify on provider websites.
(at ~50 users)
Pricing shown at closest available tier. Verify on provider websites.
By surfacing similar past work and delivery risks directly in your sessions, teams build shared understanding, reduce surprises, and make defensible commitments
regardless of whether they use Jira, Azure DevOps, or are migrating between the two.
NEXT STEP
Compare the tiers again, then move into the product workflow to see how estimation, prioritisation, and AI-assisted refinement connect in practice.