PPC - The Number on the Whiteboard

Every week, teams write down their PPC number. It goes on the whiteboard. It lands in a spreadsheet. Someone circles it, maybe comments on it, and then the meeting moves on.

That has been the pattern for a long time. The metric exists. The follow-through does not. A team sees the score but does not get coaching on what drove it, which missed commitments matter most, or what is likely to break next week. The number gets recorded, but the system stops there.

That gap has lived inside Last Planner System practice for years. Teams know how to calculate Percent Plan Complete. Most teams can explain why it matters. Fewer teams can turn that number into action. They know they missed promises. They do not always know which constraints caused the misses, where the trend is headed, or what to do before next week turns into the same story again.

Whiteboards help teams stay visible. Spreadsheets help teams stay organized. Neither one coaches the team. Neither one closes the loop between measurement and improvement.

That is the problem PPC Coach AI was built to solve.

What PPC Measures — and What It Doesn't

PPC stands for Percent Plan Complete. In plain language, it tells you how many weekly commitments the team actually kept. If the team committed to 20 tasks for the week and finished 15 as promised, the PPC is 75 percent.

That is why the metric matters. It is not a vanity number. It is a direct look at planning reliability. It shows whether the promises made in the weekly work plan held up in the field.

For teams newer to LPS, PPC is often one of the first numbers they learn. It is simple to calculate. It is easy to post. It gives a quick read on whether the team is doing what it said it would do. That part is useful. It creates a common score for the room.

The problem starts after the score shows up.

The industry average sits around 54%. Teams that run the Last Planner System well tend to land in the 75–85% range. That gap matters. It tells us many teams are still planning work they cannot reliably finish, or failing to remove constraints before the week starts.

PPC shows that a gap exists. It does not explain the gap by itself.

A low PPC number does not tell you whether design lagged, materials slipped, approvals stalled, labor shifted, access got blocked, or trade coordination broke down. A rising PPC number does not tell you whether the gains came from better make-ready, tighter handoffs, or easier work packages that week. The number shows the outcome. It does not tell the story behind it.

That is where teams often get stuck. They can count commitments. They have a harder time diagnosing patterns, connecting missed promises to root causes, and using the data to protect next week’s work.

So yes, PPC tracking for construction teams is still critical. But tracking alone is not enough. If the conversation ends at the score, the team leaves value on the table.

Where Spreadsheets Stop

Spreadsheets are good at storing data. They are not good at coaching teams.

A spreadsheet can show this week’s PPC. It can chart last month’s PPC. It can hold notes if someone takes the time to write them. What it cannot do on its own is analyze the variance across weeks, detect repeated failure patterns, or flag the commitments that look exposed before next Friday hits.

That missing middle is where many teams lose momentum.

They log the number. They capture a few reasons. Then the file closes. Nobody connects the missed handoff from last week to the risk building in this week’s plan. Nobody spots that one trade keeps getting blocked by the same upstream issue. Nobody sees that the team’s planning reliability dips every time procurement lead times tighten or design release timing slips.

Whiteboards and spreadsheets capture the score. They do not coach. They do not interpret. They do not look ahead.

That is the wall most PPC tracking workflows hit. And once teams hit that wall, the metric starts to feel like admin work instead of a live production control tool.

PPC Coach AI

PPC Coach AI picks up where the spreadsheet stops.

After each weekly entry, the system analyzes the PPC data, identifies variance patterns, and predicts next week’s performance. It does not just display the number. It explains what is driving it and points the team toward what to fix next.

That matters because most teams do not need more dashboards. They need better feedback. They need help seeing the pattern behind the misses. They need something that can look across multiple weeks and say, here is what keeps repeating, here is what is exposing your plan, and here is what needs attention before the next commitment cycle starts.

The workflow is simple. The team enters its weekly PPC data. The AI reviews the trend, checks the variance signals, and returns coaching output. That output helps the team move from scorekeeping to action. It helps connect missed commitments to causes. It helps surface what looks at risk now, not after the damage lands.

This is what makes PPC Coach AI different from generic construction AI tools. It is not a chatbot that happens to know a few planning terms. It was built for PPC tracking and Last Planner System coaching.

Under the hood, the tool draws from 30 years of International Group for Lean Construction research papers embedded in its knowledge base. That is the largest curated body of Last Planner System evidence assembled for a tool like this. The system is grounded in the actual research base behind planning reliability, constraints, and production control. It is not guessing from broad internet content. It is working from the discipline’s own body of knowledge.

That gives teams something they have not had before in one place. They get the weekly metric. They get analysis tied to patterns in the data. They get forward-looking guidance. And they get it through a Last Planner System AI built around the way practitioners work.

For teams trying to improve planning reliability, that closes a loop that has sat open for years. The measurement was there. The coaching was not. Now it is.

Who Built This and Why

PPC Coach AI was built by Felipe Engineer-Manriquez.

Felipe brings 30 years of construction and project management experience to the work. He won the LCI Chairman’s Award from the Lean Construction Institute. He also holds a Registered Scrum Master credential and works with teams daily on all aspects of Last Planner System implementations.

Those credentials matter, but the reason he built this tool is more direct than any bio.

He kept seeing the same pattern on teams trying to run LPS. They would measure PPC every week. They would record the number with discipline. Then they would stop short. The team had a score, but not a coaching loop. The whiteboard carried the metric, but not the insight needed to improve the next plan.

That problem repeats across projects because the work of interpretation takes time, pattern recognition, and discipline. Teams in the field do not always have capacity for that every week, especially when the meeting clock is moving and the project is already under pressure.

So Felipe built a tool to close that gap. Not to replace planning conversations. Not to replace superintendent judgment. Not to replace trade partner input. He built it to help the team get more out of the data they already collect and turn PPC into something useful again.

That is the point of construction AI coaching when it is done right. It should help practitioners act on the work in front of them. It should not bury them in software talk. PPC Coach AI stays on the practical side of that line.

How to Try It

If you want a simple tracker, the free PPC Tracker is live at ebfc.ai.

If you want the full AI coaching layer, PPC Coach AI is live at ppc-coach.ebfc.ai. There is a 30-day free trial, with no charge until Day 31.

That monthly price is less than a case of Monster Energy. A construction team burns more on one coffee run than a month of AI coaching. If moving your PPC from 54 percent to 75 percent saves one week of schedule slip, the math does not need explaining.

You can start with the free tracker. You can move to the coached version when you want the analysis, pattern detection, and next-week prediction. Either way, the barrier to trying it is low. The upside is not.

If your team is tired of writing the number on the whiteboard and stopping there, start here: ebfc.ai.