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Muda

1️⃣ Defects (Bugs, regressions, outages)

Waste = anything that must be reworked or fixed.

Examples in software:

  • Bugs, regressions, production incidents
  • Misconfigured infrastructure
  • Flaky tests
  • Misunderstood requirements
  • Security vulnerabilities

How to detect:

  • High defect rate
  • Frequent rework
  • Low test coverage
  • Postmortems repeat same issues

2️⃣ Overproduction (Building features nobody needs)

This is the #1 waste in software development.

Examples:

  • Building features before demand is validated
  • Overbuilding: too many options, premature scaling
  • Coding ahead of design or product clarity
  • Adding “nice-to-have” automations prematurely

How to detect:

  • Features not used or lightly adopted
  • Roadmap driven by assumptions, not signals
  • Long lead time before customer feedback

3️⃣ Waiting (Idle time)

Waste = engineers or systems waiting for something.

Examples:

  • Slow CI pipelines
  • Waiting for code reviews
  • Waiting for product decisions
  • Ticket blockers
  • Slow onboarding
  • Slow test suites
  • Infrastructure provisioning delays

How to detect:

  • Cycle time > 2–3 days
  • PRs waiting more than 24 hrs
  • Build times > 5 mins

4️⃣ Non-Utilized Talent (Underuse of people’s abilities)

Common in software teams.

Examples:

  • Engineers doing repetitive manual tasks
  • Senior devs stuck fixing trivial bugs
  • No automation of routine work
  • Not involving engineers in design decisions
  • Poor documentation causing dependence on a few people

How to detect:

  • Complaints of “wasted time”
  • Knowledge bottlenecks
  • High burnout

5️⃣ Transportation (Handoffs between tools or teams)

In software, transportation = handoffs, not physical movement.

Examples:

  • Throwing work over the wall to QA
  • Dev → DevOps → QA → Release → Support
  • Multiple Jira → GitHub → Notion → Slack transitions
  • Excessive approvals

How to detect:

  • Many tickets in “blocked” or “in review”
  • Unclear ownership
  • Work stalls during handoffs

6️⃣ Inventory (Work in Progress, unfinished code)

In software, WIP is your biggest invisible inventory.

Examples:

  • Branches not merged
  • PRs sitting open
  • Many “almost done” features
  • Backlogs with thousands of items
  • Half-finished refactors

How to detect:

  • Too many items in “In Progress”
  • Long-running branches
  • Unshipped code

7️⃣ Motion (Unnecessary movement of people or context switching)

This is developer context switching, not physical motion.

Examples:

  • Switching between tools
  • Interruptions (Slack, meetings)
  • Searching for documentation
  • Repeatedly setting up environments
  • Hunting for logs across systems

How to detect:

  • Devs complain about interruptions
  • Engineers constantly switching tasks
  • Lots of “where is that file?” moments

8️⃣ Extra Processing (Doing more work than needed)

Over-engineering.

Examples:

  • Gold-plated architecture
  • Writing complex systems before scale
  • Duplicate code reviews
  • Excessive documentation
  • Manual deployments despite automation available

How to detect:

  • Solutions feel heavier than the problem
  • Many steps that don’t produce customer value
  • “This is too complex for what it does”

⭐ The Complete “Muda Detection System” for Software

Lean for software uses a structured loop:

1. Gemba (observe actual workflow)

Watch how code moves from idea → production.

2. Identify the 8 wastes in the workflow

Use a checklist for each step.

3. Measure cycle time, WIP, defects, wait time

Use control charts or Lead Time reports from GitHub/Jira.

4. Run Kaizen to eliminate the top wastes

Small, continuous improvements.

5. Build SOPs and automation to prevent waste from returning

This is your “Control” layer.


⭐ Examples of Waste-Reduction Improvements in Software

WasteLean Fix
Long PR review times (Waiting)PR review SLA, pair programming
Slow CI (Waiting)Parallel tests, caching
Many bugs (Defects)Automated tests, Poka-Yoke, pre-commit hooks
Overbuilt features (Overproduction)Customer interviews, MVP slicing
Huge backlogs (Inventory)Regular backlog pruning
Engineers doing manual deploys (Non-utilized talent)CI/CD automation
Too many meetings (Motion)Async updates
Over-engineered systems (Extra processing)YAGNI, simplify requirements

5S Checklist

  1. Sort (Seiri)

✔ Identify all items in the space (physical, digital, or process steps) ✔ Tag anything unused or rarely used ✔ Remove obsolete tools, files, steps, or equipment ✔ Archive items needed only occasionally ✔ Eliminate duplicates ✔ Ask: “Do we really need this?”

  1. Set in Order (Seiton)

✔ Assign a fixed place for each item ✔ Label shelves, containers, directories, and dashboards ✔ Organize items by frequency of use ✔ Keep critical tools near point of use ✔ Create intuitive folder and naming structures ✔ Map the workflow: ensure items follow the flow ✔ Ask: “Can anyone find anything in under 30 seconds?”

  1. Shine (Seiso)

✔ Clean the area (physical or digital) ✔ Remove dirt, clutter, bugs, or code debt ✔ Fix broken tools, configs, scripts ✔ Schedule routine cleaning tasks ✔ Create visual cues for issues (dashboards, logs, Kanban signals) ✔ Ask: “Is everything functioning and pleasant to use?”

  1. Standardize (Seiketsu)

✔ Create SOPs, checklists, and guidelines ✔ Standardize naming, labeling, and workflows ✔ Establish coding conventions or working agreements ✔ Define daily/weekly routines for 5S tasks ✔ Build consistency across teams or devices ✔ Ask: “Would someone new know what to do without asking?”

  1. Sustain (Shitsuke)

✔ Set audit frequency (daily, weekly, monthly) ✔ Assign ownership or rotation for checks ✔ Include 5S in onboarding and training ✔ Automate wherever possible ✔ Create a culture of small, continuous improvements ✔ Ask: “Are we sustaining good habits without reminders?”

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