A lean diagnostic tool designed to reveal where digital systems, dashboards, automation, data collection and workflows are adding effort without adding value.

1. Purpose of the tool

The tool helps teams answer five questions:

1. Where is digital activity happening?
2. Does it add value to the customer, the process, compliance, or decision-making?
3. What kind of waste is it creating?
4. How severe is that waste?
5. How can we visualise it clearly enough to act on it?

2. Core idea

Traditional lean looks for waste in physical processes.
This tool applies the same thinking to digital environments.

It identifies waste such as:

• duplicate data entry
• unnecessary approvals in systems
• too many dashboards
• unused reports
• alerts nobody acts on
• manual work caused by poor system integration
• overcomplicated workflows
• collecting data that is never used
• digital rework due to poor data quality
• waiting caused by system delays
• automation of broken processes

3. The 8 categories of digital waste

You can adapt these, but this is a strong starting model.

4. The assessment sheet

Each activity in a process is reviewed using the following fields.

Digital Waste Assessment Template

Scoring method

Use a simple 1–5 scale:

• Frequency: How often does this happen?
• Impact: How much time, frustration, risk, or cost does it create?
• Ease of Fix: How easy is it to remove or reduce?

A simple priority score can be:

Priority Score = Frequency × Impact

Then use Ease of Fix as an action filter.

Example:

5. Visualisation method

The best way to visualise digital waste is to combine process mapping with waste scoring.

A. Digital Waste Heat Map

Create a process map and colour each step based on waste score:

• Green = low waste
• Amber = moderate waste
• Red = high waste

This immediately shows where digital friction is concentrated.

Example:

Receive Order → Enter ERP → Export to Excel → Re-enter to QA tracker → Email Approval → Update Dashboard
    Green          Amber         Red              Red               Amber          Amber

B. Waste Type Bubble Chart

Plot each issue by:

• X-axis = Ease of Fix
• Y-axis = Impact
• Bubble size = Frequency

This helps identify quick wins and major redesign priorities.

C. Digital Waste Pareto

Count how many waste findings fall into each category.

Example:

• Duplicate data entry – 12 findings
• Waiting for approvals – 9 findings
• Unused reporting – 7 findings
• Data quality defects – 5 findings

This helps focus improvement on the biggest themes.

D. Spaghetti Diagram for Digital Motion

Instead of physical walking, map movement across systems:

• email
• ERP
• MES
• Excel
• SharePoint
• QMS
• Teams

This reveals digital switching waste.

Example insight:
“One deviation investigation requires movement across 7 platforms and 14 screen changes.”

6. The diagnostic questions

For each process step, ask:

Value

• Does this digital step directly add value?
• Would the customer care if this step disappeared?
• Is it required for compliance, control, or safety?

Waste

• Is the same data entered more than once?
• Is this report actually used for decision-making?
• Is anyone waiting for the system, a file, an approval, or access?
• Is this alert acted on, ignored, or duplicated elsewhere?
• Is this automation solving a real problem, or just hiding one?
• Is this dashboard informing action, or just creating activity?
• Is the technology simplifying the process, or increasing effort?

Flow

• How many systems are touched in this step?
• How many clicks, screens, downloads, or handoffs are involved?
• Where do people leave the main system and work offline?

7. A simple workshop approach

Step 1: Select one process

For example:

• CAPA
• deviation management
• batch record review
• purchase order approval
• training records
• maintenance work orders

Step 2: Map the current digital workflow

Capture:

• systems used
• handoffs
• approvals
• reports
• duplicate records
• manual workarounds

Step 3: Identify waste at each step

Use the 8 digital waste categories.

Step 4: Score the waste

Assess frequency and impact.

Step 5: Visualise it

Use a heat map or Pareto.

Step 6: Prioritise actions

Separate into:

• quick wins
• process redesign
• system integration fixes
• reporting reduction
• automation redesign

8. Example

Process: CAPA management

Visual summary

• biggest waste theme: duplicate data entry
• biggest risk area: approval delays
• easiest win: remove unused PowerPoint reporting
• systemic issue: QMS process not designed around actual user workflow

9. Suggested output format

You could present the final output in a one-page dashboard with:

Digital Waste Dashboard

• Process assessed
• Number of waste points identified
• Total high-priority issues
• Top 3 waste categories
• Estimated time lost per week
• Quick wins
• Strategic fixes

Example:

Process: Batch review
Waste findings: 18
High priority issues: 6
Top waste categories: Duplicate data, waiting, over-reporting
Estimated lost time: 11 hours/week
Quick wins: Remove duplicate spreadsheet, reduce approvals, retire unused report

10. A name for the tool

Here are a few possible names:

• Digital Waste Lens
• Lean Digital Waste Scanner
• Digital Muda Map
• eWaste Flow Tool
• Digital Value vs Waste Matrix
• Smart Waste Diagnostic
• Digital Process Waste Radar

My preference is:

Digital Waste Lens

because it is simple, clear, and usable in workshops.

11. A maturity scale you can add

You could score each process from 1 to 5:

12. Key principle behind the tool

A strong statement to place at the top of it:

Not all digital activity is value.
If technology creates more effort, delay, confusion, or rework, it is digital waste.

13. Simple visual model

You could show the logic like this:

Digital Step → Does it add value?
                 ↓
              If No
                 ↓
       Classify the waste type
                 ↓
          Score frequency/impact
                 ↓
            Visualise on map
                 ↓
         Eliminate / simplify / automate properly

14. Best use cases

This tool would work very well in:

• pharma
• medical device
• food manufacturing
• quality systems
• CAPA
• deviation management
• training systems
• ERP / MES / QMS workflows
• reporting processes
• digital transformation reviews

15. Final definition

Here is a polished definition you could use:

Digital Waste Lens is a lean diagnostic tool used to identify, classify, score and visualise non-value-adding digital activity within a process. It helps organisations distinguish between useful digitisation and digital waste by highlighting duplication, delay, unnecessary reporting, poor system design, data rework and misaligned automation.