A Simple Way to Reduce Delays, Confusion, and Rework at Work
- Mariya Jenifer
- Dec 24, 2025
- 6 min read

Introduction: When Everyone Is Working, but Work Still Feels Stuck
In many workplaces, people are genuinely putting in effort.
Teams are busy. Meetings are happening. Systems are already in place.
Still, delays continue. Errors repeat. The same issues return again and again.
This situation can feel confusing and frustrating, especially when everyone is trying to do the right thing.
Over time, a few common questions naturally arise.
Why is work still getting delayed?
Why do the same mistakes keep happening?
Why does it feel like problems are fixed for a short time, but never fully resolved?
In most cases, the issue is not people. It is not commitment. And it is rarely technology alone. More often, the challenge lies in how work is structured and how it flows from one step to the next.
This article explains a simple and structured way for businesses understand work problems and improve them step by step. It is written for non-technical readers and focuses on clarity, calm thinking, and practical improvement.
Lean Thinking: Changing How We Look at Work
When problems keep repeating, the natural reaction is to fix things quickly.
New rules are added. Extra approvals are introduced. More reports are created.
While these actions are taken with good intentions, they often add complexity instead of clarity.
Before changing steps or systems, it helps to first change how we look at work itself. This shift in perspective is known as Lean thinking.
Lean thinking encourages teams to ask two simple questions.
What truly adds value for the customer or end user?
What causes delay, confusion, or extra effort without adding value?
Lean does not mean working faster or pushing people harder. It means removing unnecessary obstacles so work can move smoothly and predictably.
Once teams start looking at work through this lens, they stop focusing on individuals and begin focusing on how work is designed.
From Lean Thinking to a Structured Improvement Path
Lean thinking helps teams see problems more clearly. However, seeing a problem is only the first step.
To turn understanding into lasting improvement, businesses need a clear structure that guides them from identifying a problem to fixing it properly and ensuring it does not return.

This structure is provided by DMAIC.
DMAIC is a step-by-step improvement journey:
Define
Measure
Analyze
Improve
Control
Lean tools support each step of this journey at the right time. Let us now walk through each step in sequence.
Step 1: Define
Clearly Understanding the Real Problem
Every improvement effort needs a clear starting point. That starting point is understanding the problem itself.
Many problems are described in vague or emotional ways, such as:
The process is slow
The system is not working
There are too many mistakes
While these statements express frustration, they do not help improvement.
A well-defined problem is specific and focused on impact rather than blame.
Example
Instead of saying, “Quotations are delayed,” a clearer definition would be, “Quotation approval takes three days instead of one, which delays customer responses and affects sales.”
At this stage, Lean thinking helps teams separate symptoms from the actual issue.
Teams may also look at the process at a high level to understand where the problem starts and where it becomes visible.
No solutions are discussed yet. The goal here is shared clarity.
Step 2: Measure
Understanding What Is Really Happening
Once the problem is clearly defined, the next natural question is about reality.
How big is this problem in daily work?
Where exactly is time being lost?
This step focuses on moving away from assumptions and understanding what is actually happening.
To do this, teams need a clear picture of how work flows from beginning to end, rather than how it is assumed to work.
Value Stream Mapping
One simple way to gain this clarity is by visually mapping the process step by step. This visual representation of how work flows is called Value Stream Mapping, often referred to as VSM.
Value Stream Mapping helps teams see:
The main steps in the process
How long real work takes at each step
How much time work waits between steps
When teams see this map, they often make an important discovery. Actual work usually takes much less time than expected, while waiting takes much longer.
From Flow to Downtime
Once the flow of work is visible, another pattern becomes clear.
Work does not move continuously from one step to the next. Between steps, files wait. Approvals pause progress. Tasks sit idle until someone responds.
These gaps are easy to miss during daily work, but they stand out clearly once the full process is mapped.
This waiting time between steps is known as downtime.
In office, service, and ERP environments, downtime does not mean machines stopping. It usually means waiting for approvals, information, responses, or access.
Measuring downtime helps teams understand where time is truly being lost, without assumptions or blame.
Step 3: Analyze
Understanding Why the Problem Exists
Once delays and downtime are visible, the next question becomes unavoidable.
Why is work getting stuck in these places?
This step focuses on identifying root causes rather than pointing fingers.
Fishbone Mapping
To explore causes in a structured way, teams often use Fishbone mapping.
Fishbone mapping helps examine possible reasons for a problem across key areas such as:
People and workload
Process steps and handovers
Data quality and inputs
Systems and tools
Rules, policies, and approvals
Environment and timing
This approach ensures the problem is examined from all relevant angles instead of relying on assumptions.
From Many Causes to Clear Themes
As teams list potential causes, the number of points can grow quickly. At this stage, the challenge is no longer finding causes, but making sense of them.
While reviewing these causes, teams often notice that some issues feel related or appear repeatedly in different words. This natural sense of similarity is known as affinity.
To make these relationships clear for everyone, teams use an Affinity Diagram.
This tool visually groups related causes into clear themes.
Instead of facing a long list of scattered issues, teams may now see a few meaningful problem areas, such as approval bottlenecks, unclear information, system support gaps, or unclear ownership.
This step turns complexity into clarity.
Step 4: Improve
Deciding What to Fix First
Once root causes are clearly understood, the focus shifts from understanding to action.
However, improvement does not mean fixing everything at once. Doing so often creates confusion and overload.
The real question now becomes what should be fixed first.
The Kano Model
The Kano Model helps teams make this decision by explaining that not all improvements have the same impact.
Some improvements are basic expectations. If they are missing, people feel dissatisfied. If they are present, they are simply expected. Examples include accurate data, correct invoices, and clear approval rules.
Some improvements increase satisfaction as they improve. The better they are, the happier people become. Examples include faster approvals or quicker response times.
Some improvements pleasantly surprise users. They are not expected, but they create a positive experience. Examples include helpful alerts or proactive notifications.
Using the Kano Model helps teams focus effort on improvements that truly matter, instead of spreading effort too thin.
Lean thinking also supports this step by encouraging simpler steps, fewer handovers, and reduced waiting.
Step 5: Control
Making Sure Improvements Last
Choosing the right improvements is important, but improvement does not end with implementation.
Without consistency, even good solutions slowly fade.
This step focuses on making sure improvements become part of everyday work.
5S for Consistency
One simple method that helps here is 5S, which brings discipline and clarity to how work is organised.
The five elements of 5S are:
Sort, remove what is not needed
Set in Order, keep what is needed easy to find
Shine, keep things clean and notice issues early
Standardize, follow the same method across the team
Sustain, maintain the discipline over time
In office and ERP environments, 5S can mean clear folder structures, consistent naming, standard templates, and agreed ways of working.
ERP Controls
ERP systems support this step by providing visibility and consistency through dashboards, alerts, tracking, and ownership.
When processes are clearly designed, ERP helps maintain discipline instead of creating confusion.
How Everything Fits Together

DMAIC provides the structure for improvement. Lean thinking shapes how teams look at work. Each tool supports the right step at the right time.
In simple terms:
Lean thinking helps teams focus on value
Value Stream Mapping and downtime show where time is lost
Fishbone and Affinity explain why problems occur
Kano helps prioritise improvements
5S and ERP controls help improvements stay in place
Together, they create a calm and practical way to improve work across industries.
From Understanding Work to Improving It Meaningfully
Work rarely becomes messy because people do not care. It becomes messy when structure is missing.
When work is understood calmly, problems are solved step by step, and systems support people clearly, improvement becomes natural and lasting.
At Evanam Consulting, we help organisations bring this clarity into everyday work. Our approach focuses on understanding how work actually flows, identifying where delays and confusion arise, and supporting teams in building structured, sustainable improvements that people can confidently follow.
If your organisation is experiencing repeated delays, rework, or process confusion, a calm and structured review can often make a meaningful difference.
You are welcome to connect with Evanam Consulting to explore how this approach can be applied in a way that fits your people, processes, and business goals.
.🌐 www.evanam.com 📧 hello@evanam.com 📱 +91 93639 77790

