A systematic approach to identifying which cross-team dependencies should automatically trigger plan reviews, and how to build dependency-aware planning into your OKR process.
Dependencies Are the #1 Source of Plan Modifications
Ask any operations leader what causes the most plan modifications, and the answer is almost always the same: dependencies. Not market shifts, not resource changes, not strategic pivots. Dependencies. Specifically, cross-team dependencies that slip, change scope, or get reprioritized without the dependent team being notified in time to adjust their own plan.
This makes intuitive sense. Within a team, plan assumptions are tightly held — the team knows its own capacity, its own priorities, its own risks. The assumptions most likely to break are the ones that depend on something outside the team’s control: another team’s deliverable, an external vendor’s timeline, a platform API’s release schedule, or a partner’s commitment.
Despite this, most organizations manage dependencies informally. A project manager tracks them in a spreadsheet. A Slack thread captures the latest update. A weekly sync surfaces changes, sometimes. The gap between dependency tracking and plan modification is filled by human memory and good intentions — neither of which scales.
The dependency-driven plan modification framework formalizes the link between dependency status and plan response. When a dependency changes, the affected plan doesn’t wait for someone to remember — the framework triggers a structured review and modification within 72 hours.
The Four Types of Dependencies
Not all dependencies carry the same planning risk. The framework classifies dependencies into four types based on how they affect the dependent KR’s plan:
| Type | Description | Plan Impact When It Slips | Example |
|---|---|---|---|
| Gate dependency | The dependent KR cannot make any progress until the dependency delivers. The gate blocks the start of work. | All plan targets after the gate shift by the slip duration. The plan shape is preserved but displaced in time. | An integration KR that can’t begin until the partner API is available. |
| Accelerator dependency | The dependent KR can make progress without the dependency, but the dependency accelerates the rate of progress when it arrives. | The plan’s distribution shape changes. The ramp that was expected at week X is delayed to week Y. | A sales KR that benefits from a product launch — deals can still close without the new product, but the launch would accelerate pipeline conversion. |
| Scope dependency | The dependency defines the scope of what the KR can achieve. If the dependency delivers less, the KR’s target must reduce. | The plan’s total target changes, not just its distribution. A partial delivery means a partial target. | A customer onboarding KR where the number of onboardable customers depends on how many accounts the sales team closes by a certain date. |
| Quality dependency | The dependency affects the quality or reliability of the KR’s output, not the quantity. A quality dependency failure may not change the target but changes the rework probability. | The plan may need buffer periods added for rework or remediation. The overall pace slows. | A product quality KR that depends on the infrastructure team’s performance testing. If testing is delayed, the team can still ship, but may need to allocate time for hotfixes. |
Each type requires a different plan modification response. Gate dependencies trigger a timeline shift. Accelerator dependencies trigger a shape change. Scope dependencies trigger a target adjustment. Quality dependencies trigger a buffer insertion. Knowing the type in advance means the plan modification is pre-planned — you know what to do before the dependency slips.
Building the Dependency Register
The foundation of dependency-aware planning is the dependency register: a structured list of every cross-team dependency that affects a KR’s plan, with pre-defined response rules for each.
What the Register Captures
For each dependency, the register records seven data points:
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Dependent KR: the KR whose plan is affected by the dependency.
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Providing team: the team responsible for delivering the dependency.
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Dependency description: what exactly is the deliverable.
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Dependency type: gate, accelerator, scope, or quality.
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Expected delivery date: when the dependency is expected to be available.
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Plan assumption: what the dependent KR’s plan assumes about this dependency. For example, “Plan assumes API is available by week 4. S-curve ramp begins in week 5.”
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Pre-defined response: what plan modification will be triggered if the dependency slips, changes scope, or is cancelled.
Example Dependency Register Entries
| Dependent KR | Provider | Type | Expected | Plan Assumption | If Slipped |
|---|---|---|---|---|---|
| Launch integration v2 | Platform team | Gate | Feb 15 | API available by Feb 15. Build begins Feb 16. Plan front-loads testing in March. | Shift entire plan by slip duration. If >3 weeks, reduce Q1 scope. |
| Grow trial conversion to 14% | Product team | Accelerator | Mar 1 | New onboarding flow launches Mar 1. Plan ramps steeply in March. | Compress March ramp into remaining weeks. If launch moves past Mar 15, reduce To target by 2%. |
| Onboard 50 enterprise accounts | Sales team | Scope | Ongoing | Sales closes 60 accounts by Feb 28. Onboarding capacity handles 50. | Reduce target proportionally. If sales closes 45, adjust KR target to 38. |
| Ship mobile app with <0.5% crash rate | Infra team | Quality | Feb 10 | Performance test environment available Feb 10. One week of testing before launch. | Add 1-week buffer to March plan. Shift launch from Mar 1 to Mar 8. |
The pre-defined response is the most valuable column. It turns a dependency slip from a surprise that requires analysis into a known scenario with a pre-approved plan modification. When the slip happens, the team doesn’t need to figure out what to do — they execute the pre-defined response.
The Dependency Check Ritual
The dependency register is only useful if it’s actively maintained. The framework includes a lightweight ritual for keeping dependencies current:
Weekly: The 5-Minute Dependency Scan
At the beginning of each week (ideally before check-ins), the KR owner scans their dependency register and asks one question per dependency: is the expected delivery date still valid?
If yes, no action needed. If no, the KR owner executes the pre-defined response: opens Modify Plan, makes the specified adjustment, and documents the change in the check-in notes. The modification references the dependency: “Platform API delayed to March 1. Plan shifted per dependency response rule: gate dependency, 2-week shift applied.”
The weekly scan takes five minutes per KR — most dependencies don’t change most weeks. But the discipline of checking every week means no dependency slip goes unnoticed for more than seven days.
Quarterly: The Dependency Mapping Session
At the start of each quarter, before plans are finalized, teams hold a 30-minute dependency mapping session. The goal is to populate the dependency register for all KRs that have cross-team dependencies.
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Each KR owner identifies their dependencies. Most KRs have zero to two cross-team dependencies. Some complex KRs have three or more.
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For each dependency, the team classifies the type (gate, accelerator, scope, quality) and defines the plan assumption and pre-defined response.
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The providing team confirms the expected delivery date and commits to notifying the dependent team if it changes.
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The register is documented and shared. In Profit.co, this can be attached to the KR as a note or linked document.
Executing Dependency-Triggered Plan Modifications
When a dependency slips, the plan modification follows a structured path based on the dependency type. Here’s the execution playbook for each:
Gate Dependency Slip
The gate hasn’t opened. No progress is possible until it does. The plan response is a timeline shift.
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Step 1: Determine the new expected delivery date.
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Step 2: Calculate the slip duration (new date minus original date).
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Step 3: In Profit.co, open Modify Plan and tell the AI: “Shift the entire plan forward by [X] weeks. Keep the shape unchanged.”
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Step 4: If the shift pushes the plan past the quarter boundary, decide: reduce the quarter’s scope (change the To target) or carry the remaining plan into the next quarter.
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Step 5: Document: “[Dependency] delayed by [X] weeks. Gate dependency. Plan shifted accordingly.”
Accelerator Dependency Slip
Progress continues but at a slower rate. The plan’s ramp needs to be delayed and compressed.
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Step 1: Identify which plan periods assumed the accelerator would be available.
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Step 2: In Modify Plan, tell the AI: “The ramp was expected in week [X]. Move it to week [Y]. Compress the ramp into the remaining weeks.”
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Step 3: Assess whether the quarterly total is still achievable with the compressed ramp. If the compression is too aggressive (more than 2× the original weekly pace), consider reducing the To target.
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Step 4: Document with the accelerator context: “[Product launch] delayed to [date]. Plan ramp shifted and compressed. Q1 target [unchanged/reduced to X].”
Scope Dependency Change
The dependency delivers less than expected, directly reducing what the dependent KR can achieve.
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Step 1: Quantify the scope reduction. If the sales team was expected to close 60 accounts and now expects 45, the reduction is 25%.
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Step 2: Apply a proportional reduction to the KR’s target. In Modify Plan, edit the To value inline.
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Step 3: The reconciliation prompt fires (since the plan is customized). Choose Open Modify Plan and redistribute: “Reduce to [new target]. Preserve the current shape.”
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Step 4: If the KR is a parent in the hierarchy, cascade the change to child plans.
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Step 5: Document: “[Provider team] revised delivery from [X] to [Y]. Scope dependency. Target reduced proportionally.”
Quality Dependency Issue
The dependency is delivered, but with quality concerns that require additional work downstream.
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Step 1: Estimate the buffer needed for rework, additional testing, or remediation.
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Step 2: In Modify Plan, insert the buffer: “Add a one-week flat period at [date] for remediation. Shift subsequent targets forward by one week.”
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Step 3: If the buffer pushes the plan past the quarter boundary, compress the tail or reduce the final target.
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Step 4: Document: “[Dependency] delivered with [quality issue]. Buffer added for remediation. Plan adjusted.”
The Communication Protocol
Dependencies are inherently cross-team. The framework includes a communication protocol to ensure that dependency changes are surfaced before they cause plan damage:
Provider Team Responsibility
The team providing the dependency commits to notifying the dependent team within 24 hours of any change to the delivery timeline, scope, or quality expectation. The notification should include three things: what changed, the new expected date or scope, and the reason for the change. This notification is the trigger for the dependent team’s plan review.
Dependent Team Responsibility
Upon receiving a dependency change notification, the dependent team has 48 hours to modify their plan (within the 72-Hour Rule window). The modification follows the pre-defined response from the dependency register, adjusted for the specifics of the actual change. The dependent team posts the plan modification rationale in their check-in notes, referencing the dependency and the provider team.
Escalation Path
If a dependency change affects multiple teams or requires a target reduction of more than 15%, the dependent team escalates to the shared parent in the OKR hierarchy. The parent owner coordinates a modification across all affected child plans, using Profit.co’s hierarchical cascade to distribute the adjustment.
The communication protocol follows a 24-48-72 cadence: the provider notifies within 24 hours. The dependent team modifies within 48 hours. The total elapsed time from dependency change to plan modification is under 72 hours — consistent with the 72-Hour Rule.
Dependency Patterns That Require Special Attention
Most dependencies are straightforward: one team depends on another’s deliverable. But some dependency patterns create compounding plan risk that requires proactive management:
Chain Dependencies
Team A depends on Team B, which depends on Team C. A slip at Team C cascades through B to A, amplifying the delay at each link. Chain dependencies are especially dangerous because Team A may not even know about Team C’s involvement.
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Mitigation: In the dependency mapping session, trace each dependency to its root provider. If a dependency has more than one link in the chain, flag it as high-risk and add a buffer to the plan assumption. For example, if Team A assumes delivery from Team B by week 4, and Team B depends on Team C for a week-2 deliverable, Team A should plan for a week-5 delivery (one week of buffer per chain link).
Diamond Dependencies
Two KRs depend on the same provider team’s deliverable. When that deliverable slips, both KRs need plan modifications simultaneously. If the two KRs are owned by different teams, the modification can happen in parallel. But if both KRs contribute to the same parent, the parent’s aggregated view takes a double hit.
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Mitigation: During dependency mapping, identify diamond patterns and flag the parent KR owner. When the shared dependency slips, the parent owner coordinates both child plan modifications in a single session, ensuring the aggregated impact is assessed before individual modifications are made.
Bidirectional Dependencies
Team A depends on Team B, and Team B depends on Team A. Neither team can fully plan without the other’s commitment. This creates a deadlock risk: both teams delay their plan modifications because they’re waiting for the other to go first.
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Mitigation: Break the deadlock by designating a “first mover.” In the dependency mapping session, agree which team will set their plan first. The second team then plans around the first team’s committed dates. In Profit.co, this can be formalized: the first-mover team sets their plan and distributes it. The second team imports or adjusts their plan based on the first-mover’s committed milestones.
Measuring Dependency Management Effectiveness
Over time, the framework should improve your organization’s ability to handle dependency-driven plan changes. Track these three metrics:
| Metric | What It Measures | Healthy Target |
|---|---|---|
| Dependency slip notification time | Hours between a dependency change and the dependent team being notified. | Under 24 hours for 90%+ of changes. |
| Dependency-triggered modification time | Hours between dependency notification and plan modification applied. | Under 48 hours for 80%+ of modifications. |
| Pre-defined response coverage | Percentage of dependency slips where a pre-defined response existed in the register. | Over 70% by the second quarter of using the framework. |
The most revealing metric is the third: pre-defined response coverage. When you first adopt the framework, many dependency slips will require ad-hoc analysis. Over successive quarters, as the dependency register becomes more comprehensive and the pre-defined responses more refined, the percentage of slips with a ready-made plan modification should climb. By the third quarter, the majority of dependency-driven plan changes should be executable without real-time analysis — the analysis was done upfront.
From Reactive to Prepared
Most organizations react to dependency slips. The slip happens, someone notices, a meeting is scheduled, the plan is eventually modified — often two to three weeks after the dependency changed. The framework described in this article inverts that pattern: the response is designed before the slip happens, the communication protocol ensures rapid notification, and the plan modification is pre-defined and executable in minutes.
The shift from reactive to prepared doesn’t require a new tool or a new process. It requires a 30-minute dependency mapping session at the start of the quarter, a 5-minute weekly dependency scan, and the discipline to execute the pre-defined response when a dependency changes. The framework pays for itself the first time a dependency slips and the team modifies their plan within 48 hours instead of 14 days.
Dependencies will always slip. The question is whether the plan modification is a pre-planned 30-second execution or a panic-driven two-week scramble. The dependency register is the difference.
When dependencies shift, your plans should shift with them.
Profit.co’s AI plan assistant lets you execute pre-defined dependency responses in seconds: shift timelines, compress ramps, adjust targets, and cascade changes through the hierarchy. Start your free trial.