The State of Team Alignment 2026: How Teams Really Plan and Deliver Work
We surveyed 419 engineers, PMs, and project managers about sprint planning, agile estimation, and team collaboration. The data shows which teams are shipping consistently, and which are stuck repeating the same mistakes.


Download the full report for free to see exactly where your team ranks amongst your peers and get the 3 frameworks that they us to close the gap between planning and delivery.
Are you confident about the wrong things?
Most teams feel good about their estimates. 63% of teams report feeling confident or very confident in their task estimates. However, 44% miss the mark on half their work or more.
The disconnect isn't random. It comes down to how teams estimate and what they're actually measuring.

What the report reveals
- Which estimation method delivers the highest accuracy (only 31% of teams use it)
- Why time-based estimation creates false precision
- How collaborative approaches catch hidden dependencies before they derail your sprint
- The company-size breakdown - where small teams struggle vs where enterprises fail
Your team might be in the confident majority. But are you also in the group that's consistently wrong? Download the report to find out.
80% of teams roll work between sprints. Are you one of them?
Only 20% of teams maintain minimal rollover (0-10% of planned work). The other 80% regularly move incomplete work forward, with over a third rolling 26-50% of their sprint into the next cycle.
This creates a compounding problem - incomplete work blocks new work, sprint planning becomes a juggling act, and teams lose momentum.

What the report reveals
- The exact rollover patterns by company size (small companies face different blockers than enterprises)
- Why dependencies cause 35.6% of rollover—and how to map them before you commit
- The hidden relationship between tool fragmentation and planning failure
- How the top 20% of teams maintain minimal rollover sprint after sprint
Where do companies of your size struggle most? Get the data in the full report →
Teams say that retros identify the right problems. But they implement less than 60% of the actions.
61% of teams rate their retrospectives as effective at identifying meaningful improvements. The ceremony works. The identification works.
What doesn't work? Follow-through.
69% of teams implement less than 60% of their retro actions before the next retrospective.

What the report reveals
- The three categories of obstacles (and which one accounts for nearly 30% of failure)
- Why retro actions fail even when teams assign owners
- The critical difference between teams that implement 20% vs 80% of actions
- How to turn retro actions into sprint tickets that actually get done
Which obstacle is stalling your team's improvement? Find out →
Compare your team to 419 peers and get the frameworks that actually work
📊 The benchmarks
- Full response distributions across all questions
- Breakdowns by company size, role, and geography
- Confidence levels vs actual accuracy rates
- Rollover patterns and causes
- Retro implementation success rates
🔧 The frameworks
- Collaborative estimation that catches hidden complexity
- Capacity planning based on your rollover pattern
- Dependency mapping before sprint commitment
- Retro tracking that drives real follow-through
✅ The quick wins
- 3 changes you can implement this sprint
- Specific tactics for your company size
- How to consolidate fragmented workflows
- Making estimation a live alignment tool
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Team Alignment FAQs
Frequently asked questions
Everything you need to know about the state of team alignment in 2026
Easy Agile's State of Team Alignment 2026 report found that 69% of teams implement less than 60% of retrospective actions despite rating their scrum ceremonies as effective. The primary obstacle: 49.4% of actions either require changes outside team control (28.9%) or never make it into sprint planning (20.5%). To improve follow-through, the report recommends focusing on changes within team control like code review processes and documentation standards.
Convert retro actions into sprint tickets with owners, acceptance criteria, and estimates—treat improvement work as real work that competes for capacity. Consolidate retro tracking into one tool instead of spreadsheets plus Confluence plus Jira where actions get lost in gaps. Assign owners immediately during the retro before anyone leaves the meeting. The report emphasizes that teams repeatedly surface the same issues without dedicating sprint capacity to fixing them.
According to Easy Agile's State of Team Alignment 2026 report, 54.6% of teams use time-based estimation (hours or days) which doesn't distinguish complexity. Only 31% use collaborative estimation techniques like Planning Poker, meaning most teams miss the opportunity to surface hidden dependencies and risks through group discussion. Teams using collaborative estimation report higher confidence because the discussion reveals different interpretations of requirements and varying assumptions about complexity.
For teams not ready for full collaboration, the report recommends adding complexity flags (low/medium/high) to solo estimates to separate straightforward tasks from risky ones that could balloon beyond their estimate. The report also covers backlog refinement practices that improve sprint planning by ensuring work is well-understood before it enters sprint commitment.
Dependency delays cause 35.6% of sprint rollover according to Easy Agile's State of Team Alignment 2026 report. External team dependencies (waiting for another team's API, design approval, or feature completion), cross-functional blockages (backend waiting on frontend decisions), and third-party service delays (vendor APIs, security reviews, infrastructure provisioning) all create situations where Task B can't start until Task A completes. Map dependencies before sprint commitment—identify internal task sequences and external team needs—then reach out to dependent parties before sprint planning begins.
For work with external dependencies, build buffer specifically for those items. Plan for 80% capacity instead of 100%, using the remaining 20% to handle dependency delays, urgent requests, and rollover. Evaluate tooling: spreadsheets don't provide visibility into what other teams are doing, while purpose-built dependency management tools make dependencies visible during planning.
Easy Agile's State of Team Alignment 2026 report found that teams struggle to track sprint velocity when planning data lives in spreadsheets (58.5% of teams), discussions happen in Confluence, and work tracking occurs in Jira. This fragmentation makes it difficult to measure actual delivery against planned work. The report recommends consolidating workflow into integrated systems where sprint planning, velocity tracking, and scrum metrics live alongside delivery work.
For teams tracking velocity manually, the report recommends identifying patterns in missed estimates versus dependency delays versus scope changes to understand which factor drives your rollover. This helps focus improvement efforts—under-estimation requires better agile estimation practices, dependencies need visibility tooling, scope change needs stakeholder management.
Easy Agile's State of Team Alignment 2026 report found that planning challenges evolve with organizational scale. Small companies (50-249 employees) face estimation accuracy issues with under-estimation tying dependencies at 31% as the top cause of rollover. Mid-sized companies (250-4,999 employees) shift toward scope management with scope change causing 20-25% of rollover as more stakeholders influence requirements. Large enterprises (5,000+ employees) experience resource allocation problems with team capacity causing 30% of rollover and team collaboration breaking down across multiple departments.
Dependencies remain constant across all sizes at 35.6% of rollover—external team delays, cross-functional blockages, and third-party service delays create problems regardless of company size. Small companies need better estimation techniques, mid-sized companies need scope control, enterprises need dependency mapping across multiple teams.
According to Easy Agile's State of Team Alignment 2026 report, only 31% of teams use collaborative estimation techniques despite distributed teams needing shared understanding more than co-located teams. Planning Poker works for distributed teams because everyone estimates privately, reveals together, and discusses outliers—the structure prevents groupthink and anchoring where junior developers just agree with senior estimates.
For teams not ready for full Planning Poker sessions, the report recommends adding complexity flags (low/medium/high) to asynchronous estimates. This creates a checkpoint where high-complexity items require discussion before sprint commitment. The goal isn't consensus on a number but shared understanding of what the work entails, which explains better sprint predictability in teams using collaborative methods.
Easy Agile's State of Team Alignment 2026 report identifies a gap between tracking scrum metrics and using them to improve. Teams track sprint velocity but 80% still experience significant rollover. Teams measure estimation accuracy but 44% still miss the mark on half their work despite 63% feeling confident. The issue isn't measurement—it's action.
The report recommends tracking three connected metrics: (1) rollover percentage by cause (dependencies, under-estimation, scope change, capacity) to identify improvement focus areas; (2) retrospective action completion rate to measure whether improvements actually happen; (3) collaborative estimation adoption to track whether teams surface risks before sprint commitment. These metrics connect to specific interventions rather than just reporting status, turning measurement into improvement.
According to Easy Agile's State of Team Alignment 2026 report, dependency delays cause 35.6% of sprint rollover. Teams wait for another team to deliver an API, approve a design, or complete their portion of a feature. The second-biggest cause varies by organisation size: smaller companies (50-249 employees) struggle with under-estimation at 31%, mid-sized companies (250-4,999 employees) face scope change at 20-25%, and large enterprises (5,000+ employees) experience team capacity constraints at 30%.
Fragmented tooling worsens the problem—58.5% of teams use spreadsheets combined with Jira and Confluence, creating information silos where dependencies aren't visible until mid-sprint. The report recommends mapping dependencies before sprint commitment, planning for 80% capacity instead of 100%, and consolidating tools so coordination work is visible alongside delivery work.
It's a research report based on surveys with 419 engineers, product managers, and project managers from companies ranging from 50 to 5,000+ employees across the US, UK, Germany, Canada, and Australia. It examines how development teams estimate work, plan sprints, and implement improvements from agile ceremonies like retrospectives and backlog refinement sessions.
Key findings: 63% of teams feel confident in estimates but 44% miss the mark on half their work, 80% experience sprint rollover with dependencies causing 35.6% of delays, 69% implement less than 60% of retrospective actions. The report includes frameworks for collaborative estimation, capacity planning approaches tailored to rollover patterns, and retrospective tracking that converts actions into sprint tickets.
Download the complete State of Team Alignment 2026 report at https://easyagile.com/downloads/state-of-team-alignment-report-2026. The report includes full research methodology, detailed findings across sprint planning, agile estimation, team collaboration, and scrum ceremonies, plus practical frameworks for improving team alignment.
The research covered 419 engineers, product managers, and project managers from companies ranging from 50 to 5,000+ employees across the United States, United Kingdom, Germany, Canada, and Australia. For teams struggling with sprint predictability, retrospective follow-through, or dependency management, this report provides benchmarked data showing where you stand compared to peers and specific strategies to close the gap between planning and delivery.