AI

Mar 14, 2025

How to Use Dependency Tracking to Protect Yourself from Performance Improvement Plans

When Marcus received a surprise invitation to a meeting with his manager and HR, he knew something was wrong. Despite working 60-hour weeks and doing everything he could to meet his project deadlines, he was placed on a 90-day Performance Improvement Plan (PIP) for "consistently missing deadlines and deliverables."

"I was stunned," Marcus recalls. "I was putting in more hours than anyone on my team, but I kept missing deadlines because I was waiting on inputs from other departments that never arrived on time. Yet somehow, it was all falling on me."

Unfortunately, Marcus's situation is all too common in today's complex organizations. High-performing employees often find themselves bearing the brunt of systemic issues and crossed dependencies, especially in matrix organizations where reporting lines are complex and responsibilities overlap.

"It wasn't until I started documenting every dependency using unwait.me that I finally had the data to protect myself," explains Marcus.

Here's how unwait.me helped Marcus not only survive his PIP but actually turn the situation around:

1. Creating an Undeniable Paper Trail

Marcus began tracking every single task dependency in unwait.me, complete with timestamps, severity ratings, and detailed notes about what he was waiting for and from whom.

"Within the first week, I had documented 27 separate dependencies that were blocking my progress—all from other teams. Some had been pending for over a month with zero movement," Marcus explains.

Each time he received a request, he immediately created a record in unwait.me and shared the link with all stakeholders, including his manager. This provided complete transparency into what was on his plate and what he was waiting for.

2. Shifting from Subjective to Objective Conversations

During his next PIP review meeting, instead of getting into a defensive back-and-forth, Marcus simply opened unwait.me and walked through the data.

"It completely changed the tone of the conversation," he says. "Rather than me saying 'I'm waiting on marketing' and my manager responding 'You need to follow up more aggressively,' I could show exactly how long I'd been waiting, how many times I'd followed up, and how these delays were affecting my deliverables."

The objective data transformed subjective performance discussions into fact-based conversations about systemic issues.

3. Identifying the Real Bottlenecks

As weeks went by, patterns emerged in the dependency data. A particular bottleneck became clear: 70% of Marcus's missed deadlines were due to delayed approvals from the same two executives.

"unwait.me's analytics showed that the average approval time from these executives was 14 days, despite our process assuming a 2-day turnaround. No wonder we were always behind schedule!"

This insight led to a process change: approvals that weren't completed within 3 business days would now receive automated escalation to alternative approvers.

4. Pre-empting Issues Before They Affect Performance

As Marcus became more proficient with dependency tracking, he started identifying potential blockers before they became critical.

"Now, whenever I commit to a deadline, I immediately map out all the dependencies and set them up in unwait.me. If I see a risk based on historical data, I proactively raise it with my manager and propose alternative approaches."

This proactive approach has helped him set more realistic deadlines and manage expectations effectively.

5. From PIP to Promotion

Three months after being placed on a PIP, Marcus's review meeting had a very different tone.

"My manager actually apologized for not having the full picture. The data clearly showed that I was one of the most responsive and efficient team members, despite being consistently blocked by factors outside my control."

Not only was the PIP removed, but the organization-wide insights gleaned from Marcus's dependency tracking led to his promotion to Process Improvement Lead, where he now helps other teams implement similar systems.

Key Takeaways for Protecting Your Career

Marcus offers these specific tips for using dependency tracking to safeguard your performance evaluations:

  • Document everything - Every request, every dependency, every follow-up should be logged with timestamps and severity levels.

  • Make dependencies visible - Share your dependency tracker with stakeholders so they understand what you're waiting for and how it impacts deliverables.

  • Focus on patterns, not individual instances - Use the aggregate data to identify systemic issues rather than pointing fingers at specific individuals.

  • Propose solutions, not just problems - When presenting dependency data to management, always come with proposed process improvements.

  • Set expectations based on real data - Use historical dependency resolution times to set realistic deadlines for future projects.

"The most powerful protection against unfair performance reviews is objective data," Marcus concludes. "unwait.me gave me that data and transformed what could have been the end of my career at this company into an opportunity to drive meaningful change."