Source: [Kaizen, applied to software](https://treenodes.com/articles/kaizen-and-software/) This Markdown version is generated from the public page. Visit the source for interactive examples and full-size visuals. [All writing](https://treenodes.com/articles/) Published 5 August 2026 · Updated 6 September 2026 · Approach · 3 min read # Kaizen, applied to software A small daily workaround can waste hours over time. How to spot one, try a manageable improvement and check whether it actually helped. Written by [Nermien Barakat](https://treenodes.com/articles/by/nermien-barakat/) · Systems & Applied AI Architect ![A woman tending a branching software system as a cycle of small coloured changes strengthens it over time](https://treenodes.com/assets/articles/kaizen-and-software-hero-treenodes.webp?v=aac3c000253f) A team copies the same customer details into two systems every morning. It takes ten minutes and occasionally introduces a mistake. The work is small enough to be tolerated, so it keeps happening. Kaizen means continuous improvement: noticing that friction, making a manageable change and checking whether it helped. In software, it gives everyday problems a route to improvement before they grow into a large project. ## Choose a change you can check For the repeated data entry, start by finding out why both systems need the information. A small import or a shared data source might remove the duplication. Test it with the people who do the work and compare the time spent and errors found. Small changes still carry risk. Keep the scope clear, test the affected paths and make recovery possible. Their advantage is that you can usually understand and evaluate them sooner than a large rewrite. ## Make the improvement repeatable Diagram: A continuous five-step cycle: Notice a gap, make one small reversible Change, Ship it into real use, Observe whether it helped, Standardize what worked — then the cycle begins again. · Change for the better · small, constant, never finished · 01 · Notice · A gap, surfaced by real use · 02 · Change · One small, reversible step · Ship · Into real use, not a demo · 04 · Observe · Did it actually help? · 05 · Standardize · Keep what worked, everywhere After checking the result, make the better approach part of normal work. If the import works, document it, name its owner and use it wherever the same need exists. If it moves the manual work to another team, revise it. Count the effect on the whole process. ## Give the team room to make changes A team needs a practical way to deliver and evaluate small improvements: - Fast, cheap deploys, so a small change can ship the same day it's found. - Clear ownership, so the person who sees the problem is allowed to fix it. - Observability, so "did it help" has a real answer instead of a guess. - Boundaries that don't fight back, so a local fix doesn't ripple into three other modules. ## Try it: define one improvement worth keeping Keep the experiment smaller than the problem. This worksheet makes the benefit and the cost visible before a small change becomes a permanent dependency. **How to try it.** Complete it yourself or paste it into a chat. The baseline below is invented; replace it with observations before using the worksheet for a real decision. One-week improvement experiment Included file: kaizen-experiment.txt [Download file](https://treenodes.com/downloads/practice/kaizen-experiment.txt) **Full prompt** ``` FICTIONAL BASELINE A coordinator spends 12 minutes each day preparing a missing-files list. During five observed days, two lists needed correction after being sent. CHANGE TO TRY Generate a draft list from recorded requirements and accepted evidence. The coordinator checks it before sending. Do not change the approval policy. COMPLETE THIS EXPERIMENT Problem and baseline: One change and what remains the same: Measure: total preparation plus checking time, and corrections after sending: Owner and backup: Trial period and review date: Keep/change/stop criteria: Recovery if the generated list is wrong: Propose criteria before predicting savings. Label proposed targets as targets. Include time spent fixing mistakes; do not measure only the faster generation step. ``` ### What your result should show - The comparison covers a whole working week and includes review and correction effort. - The owner has a review date and a way to return to the previous process. A target such as “under eight minutes with no increase in corrections” is a proposal to test, not a result. ### Change one condition The draft takes two minutes, but checking it takes fifteen. Decide whether to keep, revise or stop the change using the total effort and quality, rather than generation speed. ## Where it shows up in how we work At TreeNodes, improvement continues after launch. We watch how people use the system, compare that with the original model and decide what to change next. A confusing field or a recurring exception can be a useful starting point. Pick one recurring problem this week. Name the person affected, the change you want to try and the result you will check. Set a date to look at what happened. See how TreeNodes plans [operation and improvement engagements](https://treenodes.com/services/#engagement-shape), or explore the live [FileTRX product case study](https://treenodes.com/products/filetrx/). ## Takeaways - Choose one recurring problem and name the person affected. - Keep the change small enough to test and recover from. - Review the result and make the better approach part of normal work. READING PATH · 5 OF 6 ## Improving business workflows Understand the work people actually do before changing the software that supports it. [Next: Jira and Confluence: From a Business Question to a Working Feature Map how work happens with the people doing it, then connect agreed improvements to decisions, Jira work and validation.](https://treenodes.com/articles/jira-confluence-business-question-to-working-feature/) [View the complete reading path](https://treenodes.com/articles/reading-paths/#work-the-system-cannot-see) 1. [01 Software should follow the business](https://treenodes.com/articles/software-should-follow-the-business/) 2. [02 The person missing from the diagram](https://treenodes.com/articles/the-person-missing-from-the-diagram/) 3. [03 What the spreadsheet knows that the system does not](https://treenodes.com/articles/what-the-spreadsheet-knows-that-the-system-does-not/) 4. [04 The exception path is the real workflow](https://treenodes.com/articles/the-exception-path-is-the-real-workflow/) 5. 05 Kaizen, applied to software 6. [06 Jira and Confluence: From a Business Question to a Working Feature](https://treenodes.com/articles/jira-confluence-business-question-to-working-feature/) **REFERENCES AND FURTHER READING — 4 sources** 1. Kaizen: The Key to Japan's Competitive Success — Masaaki Imai, McGraw-Hill, 1986 — The book that introduced kaizen to a Western management audience, framing improvement as a continuous habit rather than a project. 2. Toyota Production System: Beyond Large-Scale Production — Taiichi Ohno, Productivity Press, 1988 (Japanese original 1978) — The production-floor origin of the ideas: small batches, stopping the line when a defect appears, and improvement owned by the people doing the work. 3. Out of the Crisis — W. Edwards Deming, MIT Press, 1986 — Deming's account of the Plan-Do-Check-Act cycle (originating with Walter Shewhart), the loop this article's diagram is a software-shaped version of. 4. [Accelerate: The Science of Lean Software and DevOps](https://dora.dev/research/) — Nicole Forsgren, Jez Humble and Gene Kim, IT Revolution, 2018 — The empirical case that small batch sizes and frequent, low-risk deploys correlate with better delivery and stability outcomes.