The Challenge
Sprint planning is one of the most labour-intensive ceremonies in agile development. Teams spend hours each sprint grooming the backlog, estimating effort, and trying to balance workloads — only to find the sprint board out of sync by mid-week.
- Backlog grooming is manual and inconsistent, leaving issues in unclear states
- Capacity is difficult to calculate in real time across multiple team members
- Moving issues into sprints and updating their status requires repetitive Jira navigation
- Work logs are often forgotten or entered late, distorting velocity metrics
- Teams struggle to maintain sustainable pace because planning overhead consumes too much time
The Autohive Solution
Autohive’s Jira integration automates the most time-consuming aspects of sprint planning — freeing your scrum master and team leads to focus on strategy rather than data entry.
Automated Backlog Discovery
Identify issues that are ready to enter a sprint based on configurable criteria: story points estimated, acceptance criteria filled, dependencies resolved, and priority threshold met. No more scrolling through hundreds of backlog items manually.
Capacity-Aware Sprint Population
Calculate available team capacity based on current sprint assignments and automatically move the right issues into upcoming sprints — distributing work evenly across team members without over-committing.
Automatic Worklog Tracking
When linked tasks are completed or transitioned to “Done,” Autohive can automatically create or update worklogs in Jira — ensuring your time-tracking data stays current and your velocity reports are accurate.
Benefits
- Accurate sprint boards — Issues are moved and assigned automatically, keeping your sprint reflecting reality
- Sustainable team velocity — Capacity-aware planning prevents over-commitment and burnout
- Less ceremony overhead — Scrum masters spend less time on logistics and more on coaching and process improvement
- Better retrospective data — Accurate worklogs and transitions give you reliable metrics for continuous improvement
How It Works
- Scan the backlog — Autohive queries Jira for backlog issues meeting your readiness criteria using JQL
- Calculate capacity — Aggregate current sprint assignments and story points to determine available bandwidth per team member
- Populate the sprint — Move qualifying issues into the next sprint and assign them based on capacity and expertise
- Monitor transitions — Track when issues move to “In Progress” or “Done” and trigger worklog entries automatically
- Report sprint health — Generate a summary of sprint load, remaining capacity, and any flagged risks
Getting Started
- Sign up at app.autohive.com
- Connect Jira from the Autohive Marketplace
- Define your sprint readiness criteria, capacity thresholds, and worklog rules
- Deploy your sprint planning agent and enter every sprint already ahead
