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PI Planning often feels like alignment at its best. Teams walk out of the room confident, committed, and clear on what needs to be delivered. Objectives are agreed upon, dependencies are mapped, and risks are discussed. On paper, everything looks solid.
Then execution begins.
Suddenly, that alignment starts to crack. Teams question priorities. Dependencies don’t flow as expected. Assumptions surface. Conversations shift from “we agreed” to “that’s not what we meant.”
Here’s the real issue: agreement in PI Planning is not the same as shared understanding.
Let’s break down why this gap happens and what teams can do to close it.
1. Agreement Is Often Surface-Level
During PI Planning, teams move fast. There’s pressure to finalize plans, commit to objectives, and align across multiple teams. In that rush, teams often agree to things without fully unpacking what they mean.
A feature might sound clear at a high level, but each team interprets it differently:
- One team thinks it’s a backend capability
- Another assumes UI changes are included
- A third expects integration work that no one explicitly discussed
Everyone says “yes” in the room. But they’re saying yes to slightly different versions of the same thing.
Execution exposes these differences.
This is where strong product alignment skills matter, especially for roles trained through SAFe Product Owner and Manager Certification, where teams learn how to drive clarity beyond surface-level agreement.
2. Hidden Assumptions Stay Unspoken
Every plan carries assumptions. Some are obvious. Most are not.
During PI Planning, teams rarely list all assumptions explicitly. Instead, they operate on what feels “understood.”
Common hidden assumptions include:
- Dependencies will be ready on time
- External teams will prioritize shared work
- Technical complexity is manageable
- Stakeholders won’t change direction mid-PI
None of these are guaranteed. When reality deviates, teams start to disagree—not because they changed their minds, but because they never aligned on these assumptions in the first place.
Execution doesn’t create misalignment. It reveals it.
3. Dependency Conversations Are Too Optimistic
Dependency mapping is a core part of PI Planning. But most dependency conversations lean toward optimism rather than realism.
Teams say things like:
- “We’ll have this ready by Sprint 2”
- “Integration should be straightforward”
- “We’ve done something similar before”
These statements are often based on best-case scenarios.
When execution begins, real constraints show up:
- Competing priorities
- Unexpected technical challenges
- Resource limitations
- Delayed inputs
Now the same dependency becomes a point of tension. One team feels blocked. Another feels pressured. Disagreements follow.
This is where experienced Scrum Masters, especially those trained through SAFe Scrum Master certification, play a key role in making dependencies visible and manageable throughout execution—not just during planning.
4. Objectives Are Agreed, But Not Prioritized the Same Way
PI Objectives give direction. But they don’t always clarify priority under pressure.
During execution, teams face trade-offs:
- Should we finish Feature A or unblock another team?
- Do we prioritize technical debt or new functionality?
- Do we optimize for speed or quality?
If priorities were not clearly aligned during PI Planning, teams make different decisions in the moment.
From their perspective, they’re doing the right thing.
From another team’s perspective, they’re misaligned.
This creates friction that didn’t exist during planning.
5. The Meaning of “Done” Isn’t Shared
Teams often agree on what to deliver, but not on what “done” actually means.
For one team, “done” might mean:
- Code complete
- Unit tested
For another, it might mean:
- Integrated with other systems
- Validated end-to-end
- Ready for production
This difference becomes critical when work crosses team boundaries.
One team believes they’ve fulfilled their commitment. Another believes the work is incomplete.
Disagreement is inevitable.
Strong engineering alignment practices, often emphasized in SAFe Advanced Scrum Master training, help teams align on quality standards and definitions of done across the ART.
6. Plans Don’t Survive First Contact with Reality
No plan remains untouched once execution begins.
Market changes, stakeholder inputs, technical discoveries, and customer feedback all reshape the work.
The problem isn’t change. Agile expects change.
The problem is how teams respond to change.
If teams treat the PI plan as fixed, they resist adjustments. If they treat it as flexible without coordination, alignment breaks.
What’s needed is a shared approach to adapting the plan.
Without that, each team adjusts independently, leading to divergence.
7. Communication Drops After PI Planning
PI Planning is intense. Teams collaborate deeply for two days.
After that, communication often drops to routine ceremonies:
- Daily stand-ups
- Sprint reviews
- Retrospectives
Cross-team conversations reduce.
This creates a gap. Misalignments that could have been corrected early grow over time.
By the time they surface, they’re harder to fix.
Teams don’t drift because they disagree. They drift because they stop talking.
Practices like Scrum of Scrums and ART Sync, often reinforced in SAFe Release Train Engineer certification, help maintain alignment during execution—not just at the start.
8. Stakeholder Influence Changes Mid-PI
Stakeholders are aligned during PI Planning. But their priorities can shift during execution.
New information, business pressures, or leadership decisions introduce changes.
Teams respond differently:
- Some adapt quickly
- Others stick to the original plan
- Some escalate for clarity
This creates inconsistent behavior across teams.
Now disagreement is not just internal—it’s influenced externally.
Strong product leadership, often developed through SAFe agile training, helps organizations handle these shifts without breaking alignment.
9. Teams Optimize Locally Instead of Systemically
During execution, teams naturally focus on their own goals.
They optimize for:
- Their sprint commitments
- Their backlog
- Their deliverables
But the ART succeeds or fails as a system.
Local optimization can hurt overall flow:
- Completing isolated work that doesn’t integrate
- Delaying shared deliverables
- Ignoring cross-team dependencies
When teams optimize differently, disagreements emerge.
Each team believes they are succeeding. The system tells a different story.
10. Lack of Continuous Re-Alignment
PI Planning creates initial alignment. But alignment is not a one-time event.
It needs to be maintained.
Teams that succeed treat alignment as an ongoing activity:
- Revisiting objectives regularly
- Validating assumptions
- Adjusting based on feedback
- Re-aligning on priorities
Teams that don’t do this slowly drift apart.
By the end of the PI, they look back and wonder how things diverged so much.
How to Close the Gap Between Agreement and Execution
Fixing this gap doesn’t require more planning. It requires better alignment practices.
1. Turn Assumptions into Explicit Conversations
Write down assumptions during PI Planning. Challenge them. Validate them early in execution.
2. Align on “Done” Across Teams
Don’t assume definitions match. Make them visible and shared.
3. Treat Dependencies as Ongoing Work
Revisit them regularly. Adjust plans as reality unfolds.
4. Create Shared Decision Rules
When trade-offs happen, teams should know how to prioritize consistently.
5. Increase Cross-Team Communication
Don’t rely only on ceremonies. Encourage direct conversations between teams.
6. Focus on System Outcomes
Shift from “my team delivered” to “the system delivered.”
7. Re-Align Frequently
Use checkpoints to revisit goals, risks, and priorities.
Final Thought
Teams don’t disagree during execution because planning failed. They disagree because planning created an illusion of alignment.
Real alignment shows up when teams make decisions under pressure and still move in the same direction.
That only happens when understanding goes deeper than agreement.
PI Planning starts the conversation. Execution tests it.
The teams that win are the ones that keep that conversation alive.
Also read - Why AI Will Change the Definition of “Done”
Also see - The Problem of “Invisible Work” in SAFe Teams and How to Surface It
