Turn Jira data into clear sprint decisions
Modern Scrum teams don’t struggle because they lack data.
They struggle because critical sprint signals are hidden, scattered, or discovered too late.
Staive Insights transforms raw Jira data into clear sprint-level signals and actionable guidance, so teams can act early.
Jira Visibility Problems
Jira User Workload Report
Jira User Workload Report
The Jira User Workload Report displays time estimates for all unresolved issues assigned to a user across multiple projects. While this provides a broad view of assigned work, it lacks precision for sprint-level planning. Issues and sub-tasks are frequently added or removed from sprints, and unresolved sub-tasks from previous work remain visible, creating noise and reducing clarity. As a result, the report becomes more useful only after the first sprint cycle, once data stabilizes.
Completed Work During the Sprint
Jira does not allow sub-tasks to be directly assigned to a sprint, making it difficult to accurately track completed work within a specific sprint. Metrics such as story points or original estimates are unreliable when work spans multiple sprints. Staive addresses this limitation by filtering completed tasks based on the sprint date range, providing a clear and accurate view of what was actually delivered during the sprint.
Management of Unplanned Work
Work is frequently added to an active sprint, which makes it difficult to track changes in scope. This impacts the ability to measure how many story points were added or removed and reduces visibility into team performance. Without clear tracking, it becomes challenging to assess sprint predictability and planning accuracy.
Daily Standup
Team members often update task statuses just before the daily standup, which can lead to outdated or inconsistent information. This prevents the Scrum Master from preparing effectively and reduces the quality of the discussion. Accurate and up-to-date information at the start of the meeting is critical to ensure a productive standup and to support informed decision-making.
Bonus Structure for Engineers
Reward engineers for balanced performance across quality, delivery, reliability, and efficient use of capacity while maintaining transparency and fairness. The Staive Sprint Retrospective card can give you real insight into the team’s overall performance.
Recommended Bonus Tier Structure
| Combined Score | Bonus % | Level | Description |
| 90-100 | 100% | Excellent | High quality + strong delivery + efficient |
| 80-89 | 85% | Very Good | Good across all dimensions |
| 70-79 | 75% | Good | Solid performance, room to improve |
| 60-69 | 50% | Satisfactory | Acceptable but needs work |
| 50-59 | 20% | At Risk | Significant issues |
| <50 | 0% | Poor | Critical problems |
What Staive Insights delivers
Sprint Readiness Signals
Know if a sprint is truly ready to start
Staive continuously validates the sprint itself against objective readiness rules directly in Jira:
- Stories and bugs properly assigned
- Sub-tasks defined and estimated
- Workload balanced at the team level
- Status consistency between stories and sub-tasks
Instead of guessing, teams get a clear sprint readiness status:
- Ready
- At Risk
- Not Ready
This status reflects sprint readiness, not individual performance.
Early Sprint Risk Detection
See delivery risks before they impact the sprint
Staive identifies common sprint-level risk patterns, including:
- Missing or late estimates
- Unassigned work
- Capacity overload at the team level
- Incomplete task breakdowns
Each risk is linked to a clear planning rule, so teams understand what is wrong and why — without blame.
Actionable Guidance (Not Orders)
Clarity without micromanagement. Staive never tells people what to do.
Instead, it highlights what is blocking sprint readiness and suggests possible next steps, such as:
- Completing missing estimates on specific items
- Assigning unowned work
- Rebalancing sprint workload
- Breaking down oversized tasks
Teams stay in control — Staive provides context, not commands.
Scrum Process Scoring
Measure how well your Scrum process is executed
Staive evaluates sprint quality using objective process indicators, including:
- Planning discipline
- Task breakdown quality
- Capacity balance
- Estimation consistency
This produces a process score that helps teams:
- Track improvement over time
- Compare sprints objectively
- Identify recurring process weaknesses
No opinions. Just observable execution signals.
Learning from Past Sprints
Improve intentionally, not accidentally
By analyzing historical sprint data, Staive highlights:
- Repeated causes of delivery delays
- Patterns leading to spillover
- Process issues impacting predictability
Retrospectives become data-informed learning moments, not opinion-driven debates.
Built for Real Scrum Teams
Staive Insights adapts to each role — without creating pressure:
- Scrum Masters gain confidence in sprint readiness
- Product Owners see delivery risks earlier
- Teams get clarity instead of last-minute stress
- Managers gain visibility without micromanagement
Everyone sees what matters — no noise, no surveillance.
–> Learn how to install Staive directly in Jira.
From Insight to Action
Staive Insights is not about generating more reports.
It’s about helping teams make better decisions, earlier.
- Clear sprint signals
- Practical guidance
- Predictable delivery
→ See how Staive validates sprint readiness before the sprint starts.
It’s about sprint health — not people.