Process Performance Measurement Series Issue 1: From "Processes Running" to "Processes Running Well" — A Systematic Framework for Process Performance Management

Why is Process Performance Measurement So Important?

Many companies often fall into a common dilemma when advancing process management: processes are mapped out, documents are written, and job responsibilities are clarified, but when asked, "How is this process actually performing?" — no one can provide an accurate answer.

This is a typical "processes exist, but performance is absent" issue.

Process management has three core elements: process architecture (whether processes exist), process execution (whether processes are smooth), and process performance (whether processes are effective). Most companies invest a lot of effort in the first two areas, but the third area — process performance measurement — is almost entirely neglected.

Without measurement, there is no management. Without process performance indicators, managers cannot determine:

• Is the process improving or deteriorating?
• Where are the bottlenecks?
• Which环节 should resources be allocated to?
• Has process optimization been effective?

Process performance measurement provides a systematic answer to these questions.

1. Three Dimensions of Process Performance Measurement

A complete process performance measurement system unfolds across three dimensions — efficiency, quality, and cost. These three dimensions are essential and interdependent.

1. Efficiency Dimension: How Fast Does the Process Run?

Efficiency is the most intuitive indicator of process performance. The customer's most direct perception is also "how fast" — whether it's an approval process, order processing, or after-sales service.

Key indicators include:

Key Insight: The Velocity Ratio is one of the most underestimated indicators. In most functional organizations, the Velocity Ratio is often below 10% — meaning that over 90% of the time is spent on waiting and transferring, rather than creating value.

2. Quality Dimension: How Accurate Does the Process Run?

Efficiency addresses the "fast" issue, but being fast does not necessarily mean being good. The process also needs to answer the "accuracy" question.

• First Pass Yield (FPY): The percentage of processes that are completed correctly on the first attempt
• Rework Rate: The percentage of process instances that require rework
• Defect Rate: The number of defects per unit of output
• Customer Complaint Rate: The percentage of customer complaints due to process output issues
• Compliance Rate: The percentage of process executions that meet regulatory/standard requirements

3. Cost Dimension: Is the Process Worth Running?

Efficiency and quality both require resource investment, and the ROI must ultimately be assessed in terms of cost.

• Total Process Cost: The full cost (labor + systems + materials) of completing a process
• Unit Process Cost: The process cost allocated per unit of output
• Cost of Quality (COQ): Prevention Cost + Appraisal Cost + Internal Failure Cost + External Failure Cost
• Process Cost Efficiency: Process Output Value ÷ Process Operation Cost

2. From Indicators to System: Designing Process KPIs and SLAs

With the framework of the three dimensions, the next step is to convert it into actionable KPIs and SLAs.

Process KPIs (Key Performance Indicators)

Good process KPIs follow the SMART principle:

• Specific (具体的): Directly point to the key outputs of the process
• Measurable (可测量的): Data is obtainable and quantifiable
• Achievable (可实现的): Target values are reasonable and attainable
• Relevant (相关的): Aligned with the process goals
• Time-bound (有时限的): Have a clear evaluation cycle

Case Study: KPI Design for the Purchase-to-Pay (P2P) Process

SLAs (Service Level Agreements)

SLAs are a key tool for converting process KPIs into cross-departmental service commitments. An effective SLA must clearly define:

1. Service Scope: Which process, which stage
2. Service Level Objectives: Specific KPIs and thresholds
3. Measurement Method: Data sources and calculation methods
4. Exception Clauses: Situations where the SLA does not apply
5. Penalty Mechanisms: Follow-up mechanisms for non-compliance

Practical Experience: More SLAs are not necessarily better. In the initial stage, select 3-5 core indicators to make process performance "visible" before gradually refining them.

3. Implementation Path for Process Performance: From Data to Improvement

Once the indicator system and SLAs are designed, the key is whether they can be truly implemented. The following is a step-by-step implementation path:

Step 1: Identify Key Processes

Not every process requires in-depth performance measurement. Prioritize:

• Customer touchpoint processes (orders, after-sales, complaints)
• Processes with the highest resource consumption
• Processes with frequent issues

Step 2: Establish Data Collection Mechanisms

The biggest obstacle in process performance measurement is not knowing what to measure, but inability to obtain data.

• System Data: Directly obtained from ERP, OA, MES (recommended)
• Manual Statistics: Use Excel/shared spreadsheets during the transition period
• Process Mining: Automatically discover real process paths from system logs (detailed in subsequent articles)

Step 3: Set Baselines

Before improvement, run the process for 1-3 months to collect data and establish a baseline of the current level. Without a baseline, it is impossible to discuss "how much improvement has been made."

Step 4: Visualization and Dashboards

Create visual management dashboards for process KPIs and report them regularly (weekly/monthly). An effective process dashboard should include:

• Connectivity Rate (green/red light status)
• Trend Charts (weekly/monthly trends)
• Benchmark Comparison (comparison with industry standards or historical data)

Step 5: Introduce the PDCA Improvement Cycle

The ultimate goal of process performance measurement is improvement, not evaluation. Once performance deviates from the target, immediately initiate the problem-solving process:

• Plan (计划): Analyze root causes and develop improvement plans
• Do (执行): Implement improvements within a controlled scope
• Check (检查): Verify the effectiveness of improvements through process performance indicators
• Act (处理): Standardize successful practices or adjust the improvement direction

4. Common Pitfalls and Countermeasures

Pitfall 1: Too Many Indicators, Data Focus Lost

Symptoms: A process has a dozen KPIs, the dashboard is cluttered, and managers cannot see the key points.

Countermeasures: Limit the core KPIs for each process to 3-5, and place alternative indicators on secondary dashboards.

Pitfall 2: Measuring Efficiency Only, Not Quality

Symptoms: The P2P process focuses solely on "speed," resulting in a surge in purchase order error rates and rework time far exceeding the time saved.

Countermeasures: Efficiency indicators must be used in conjunction with quality indicators to form a "efficiency × quality" dual-dimension evaluation.

Pitfall 3: SLAs Become "Wall Documents"

Symptoms: SLAs are signed and published, but no one looks at or uses them in actual operations.

Countermeasures: Embed SLAs into the process execution system — automatic reminders and notifications of non-compliance at process nodes.

Pitfall 4: Inaccurate Data, Wasted Effort

Symptoms: Incomplete system data, manual statistics with biases, inconsistent criteria.

Countermeasures: Start with data quality governance (refer to subsequent articles in this series) before implementing performance measurement.

5. Action List from the First Article

After reading this issue, you can immediately do one thing:

Choose a process you are most familiar with (approval, procurement, after-sales, etc.), draw its end-to-end path, and calculate its "Velocity Ratio" — using actual time data, not estimates.

You will find that this simple calculation itself can expose a large number of improvement opportunities.

Knowledge code: 3.3.1

Version: v20260528

Author: Quality Think Tank