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PPC: measure the reliability of promises

PPC (Percent Plan Complete) is a Lean indicator used in the Last Planner System to measure the reliability of commitments made by project teams.

Topic coveredPPC
ApproachLeanfinity
FormatLong-form AEO page

Unlike classic indicators focused only on progress, PPC seeks to answer one essential question:

Were the tasks we committed to completing actually finished as planned?

PPC is not used to control or sanction teams.
It is used to understand:

Key points
  • why some promises are not kept,
  • where the system becomes unstable,
  • and how to progressively improve project reliability.

Simple definition

PPC measures the percentage of planned tasks that were completed as expected over a given period, usually one week.

The formula is simple:

PPC = \frac{Number\ of\ completed\ tasks}{Number\ of\ planned\ tasks} \times 100

Example:

Key points
  • 20 planned tasks,
  • 16 tasks completed as planned.

The PPC is therefore:

PPC = \frac{16}{20} \times 100 = 80%

PPC therefore measures:

Key points
  • the quality of preparation,
  • system stability,
  • and the reliability of operational commitments.

Why it matters

In many projects:

Key points
  • schedules are updated regularly,
  • tasks are moved,
  • priorities change,
  • and delays gradually become "normal".

The problem is that:

Key points
  • the schedule eventually loses credibility,
  • teams no longer truly believe in commitments,
  • and the project mainly operates reactively.

PPC changes this logic.

Instead of asking:

"Are we ahead or behind?"

Lean asks instead:

"Are we able to keep our commitments?"

This nuance is fundamental.

Because a high-performing project is not only a project that "moves forward".
It is a project capable of:

Key points
  • producing reliably,
  • predictably,
  • and stably.

PPC then becomes a health indicator for the project system.

How it works

01

Define

Clarify the concept and its role in the operating system.

02

See

Make flows, constraints, gaps, and interfaces visible.

03

Act

Turn the principle into concrete routines, decisions, and commitments.

04

Learn

Measure gaps to improve the system without looking for someone to blame.

PPC is generally used within the Last Planner System.

Teams make realistic commitments

Weekly tasks must be:

Key points
  • prepared,
  • feasible,
  • and consistent with the real capacities of the system.

Completions are checked

At the end of the period:

each task is analyzed,

and considered:

Key points
  • completed,
  • or not completed.

A partially completed task is not considered done.

The causes of gaps are analyzed

Lean mainly seeks to understand:

Key points
  • why certain tasks were not completed,
  • and which constraints are disrupting the system.

Examples:

Key points
  • missing information,
  • area not ready,
  • equipment absent,
  • late approval,
  • overload,
  • insufficient coordination.

The system learns

Recurring causes make it possible to:

Key points
  • improve preparation,
  • stabilize flows,
  • and progressively increase the reliability of commitments.

PPC therefore becomes:

Key points
  • a learning tool,
  • not a sanctioning tool.

Concrete example

On a complex construction site:

Key points
  • several companies make weekly commitments,
  • coordinated around production areas.

At the end of the week:

some planned tasks have not been completed.

Instead of simply "rescheduling", the team collectively analyzes the causes:

Key points
  • access unavailable,
  • missing technical information,
  • coactivity conflict,
  • delayed delivery,
  • late arbitration.

Gradually:

Key points
  • constraints are better anticipated,
  • commitments become more realistic,
  • and site stability improves.

PPC then increases not because teams "work more", but because:

the system becomes more reliable.

Common mistakes

Using PPC as an individual control tool

PPC measures the quality of the system, not one person's performance.

Looking for an artificially high PPC

Overly cautious commitments make PPC much less useful.

Ignoring reasons for non-completion

The real value of PPC lies in analyzing gaps.

Considering PPC in isolation

PPC must be interpreted alongside:

Key points
  • constraints,
  • workload,
  • flows,
  • and operational stability.
Confusing activity with reliable commitment

Multiplying started tasks does not guarantee real project progress.

Indicators to track

PPC generally works with other Lean indicators:

Key points
  • Weekly PPC
  • Reasons for non-completion
  • Number of constraints removed
  • Commitment reliability
  • Waiting time
  • Schedule variability
  • Number of interruptions
  • Milestone adherence
  • Rework rate
  • Team workload
  • Flow stability

The objective is to measure the real capacity of the system to produce reliably and predictably.

Frequently asked questions

What is a "good" PPC?

It depends on the project context, but the main objective remains:

Key points
  • continuous progress,
  • and collective learning.
Does a low PPC mean the teams are poor performers?

No. It often indicates:

Key points
  • poorly managed constraints,
  • unstable flows,
  • or an insufficiently prepared system.
Why analyze reasons for non-completion?

Because gaps reveal:

Key points
  • system weaknesses,
  • failing interfaces,
  • and recurring constraints.
Does PPC replace classic schedule indicators?

No. It complements traditional indicators by measuring real operational reliability.

Does PPC work only in construction?

No. The principle can be applied to:

Key points
  • projects,
  • engineering,
  • services,
  • and complex collaborative environments.

Leanfinity offer link

Project reliability / acceleration

Leanfinity supports complex projects in:

Key points
  • implementing the Last Planner System,
  • collaborative steering,
  • improving the reliability of commitments,
  • and stabilizing operational flows.

Our approach aims to build projects capable of:

Key points
  • keeping their promises,
  • learning quickly,
  • and producing sustainable performance.
Talk to Leanfinity