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Improve Phase: A Complete Practical Guide

Learn how to turn root-cause findings into tested, measurable process improvements using a practical Improve Phase framework.

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Improve Phase: A Complete Practical Guide

The Improve Phase is the point in a DMAIC project where a team moves from understanding why a process performs poorly to developing and validating better ways of working. The objective is not simply to generate ideas. It is to select solutions that address verified root causes, test them in a controlled way, and establish evidence that the improved process can deliver better results.

Team collaborating on process improvement
Effective improvement work connects data, root-cause analysis, solution design, and practical implementation.

What Is the Improve Phase?

The Improve Phase is the fourth phase of the DMAIC methodology: Define, Measure, Analyze, Improve, and Control. It uses the findings from the Analyze Phase to develop changes that can improve the process.

A useful way to think about the phase is:

  • Define: Clarify the problem and project objective.
  • Measure: Establish reliable information about current process performance.
  • Analyze: Identify and verify important causes of the problem.
  • Improve: Develop, test, and implement solutions that address those causes.
  • Control: Maintain the improved process and monitor its performance.

The Improve Phase therefore should not become a brainstorming exercise disconnected from evidence. The solutions should have a clear relationship to the causes established during analysis.

Why the Improve Phase Matters

Finding a root cause does not automatically improve a process. A team can correctly identify a source of delay, error, waste, or variation and still fail to achieve sustainable improvement if the proposed solution is impractical or poorly implemented.

The Improve Phase creates a structured bridge between analysis and operational change. It helps teams answer questions such as:

  • What can be changed to address the verified cause?
  • Which potential solutions are practical?
  • What risks could the proposed change introduce?
  • How should the solution be tested?
  • What evidence will show whether the change worked?
  • How can the organization prepare the process for implementation?

Improve Phase Inputs

A strong Improve Phase begins with useful outputs from the earlier DMAIC phases. Before developing solutions, the team should understand the problem, the baseline process, and the causes that have been investigated.

Input Purpose How It Supports Improvement
Problem statement Defines the issue being addressed Keeps improvement work focused
Baseline measures Describes current performance Provides a reference for evaluating change
Process analysis Shows how work currently flows Helps identify where changes can be introduced
Verified causes Connects problems to contributing factors Provides the basis for solution development
Customer or stakeholder requirements Defines important outcomes Helps prevent solutions from creating new problems

The Core Activities of the Improve Phase

1. Generate Potential Solutions

Start by generating possible solutions for the causes identified during analysis. Depending on the process, solutions may involve changes to workflows, information, responsibilities, technology, approvals, materials, workplace organization, or process controls.

The goal at this point is to create a meaningful set of possible countermeasures before selecting the final approach.

A useful question is:

"What change would directly reduce or eliminate this verified cause?"

2. Connect Solutions to Root Causes

Each proposed solution should have a clear cause-and-effect connection. This prevents teams from choosing attractive changes that do not address the actual problem.

Verified Cause Potential Improvement Expected Process Effect
Duplicate manual data entry Redesign the information-entry workflow Reduce unnecessary handling
Unclear approval responsibility Clarify decision ownership Reduce avoidable waiting
Inconsistent work instructions Standardize the documented procedure Improve process consistency
Missing information at handoff Introduce a defined handoff requirement Reduce rework caused by incomplete inputs

3. Screen and Prioritize Solutions

Not every potential solution should be implemented. Teams can evaluate alternatives using practical criteria such as expected impact, implementation effort, risk, cost, feasibility, and stakeholder acceptance.

A simple decision matrix can make the discussion more transparent.

Criterion Question
Impact Could the solution address the identified problem meaningfully?
Feasibility Can the organization realistically implement it?
Risk Could the change create new operational or quality problems?
Effort What resources and organizational effort are required?
Sustainability Can the organization maintain the new way of working?

4. Design the Improved Process

After selecting a promising solution, define how the future-state process will work. Do not focus only on the individual change. Consider the complete workflow surrounding it.

Document important elements such as:

  • Process steps
  • Inputs and outputs
  • Roles and responsibilities
  • Decision points
  • Required information
  • Handoffs
  • Systems or tools involved
  • Potential failure points
  • Measures used to evaluate performance

This future-state view helps the team determine whether a proposed improvement works as part of the entire process rather than only at one individual step.

5. Assess Improvement Risks

A change that solves one problem can introduce another. Before implementation, examine how the proposed process could fail.

Useful questions include:

  • What could go wrong after the change?
  • Which process step becomes more dependent on another step?
  • Could the change increase workload elsewhere?
  • Could information be lost during a new handoff?
  • Could the new process create a different type of error?
  • What would happen if the new method is not followed?

Risk assessment should be practical. The purpose is to identify important failure modes early enough to improve the solution before full implementation.

6. Pilot or Test the Solution

Where practical, test the proposed improvement before making it the standard process. A pilot gives the team an opportunity to observe how the solution performs under actual operating conditions.

The test should have a clear purpose and defined measures. Depending on the project, these may include cycle time, defects, rework, processing steps, backlog, or another measure already established during the project.

A useful test structure is:

  1. Define what will change.
  2. Define where and how the change will be tested.
  3. Identify the performance measures.
  4. Collect comparable information.
  5. Observe unexpected effects.
  6. Review the results.
  7. Refine the solution when necessary.

7. Validate the Improvement

A successful pilot should be evaluated against the problem and the project's requirements. The question is not simply whether people liked the new process. The team should determine whether the change produced the intended process effect.

Compare the relevant performance information with the baseline established earlier in the project. Use consistent definitions and measurement methods so that the comparison is meaningful.

If the result is not sufficient, the team may need to modify the solution, investigate another cause, or test an alternative approach.

Improve Phase Tools and Techniques

The tools used during the Improve Phase depend on the problem and process. Common approaches include:

Tool or Technique Typical Purpose
Brainstorming Generate potential improvement ideas
Future-state process mapping Design the proposed workflow
Decision matrix Compare potential solutions against defined criteria
Pilot testing Evaluate a solution before broader implementation
Risk analysis Identify potential problems created by the new process
Standardization Define the intended way of performing the improved process

How to Choose Between Improvement Ideas

When several solutions appear reasonable, avoid selecting one based only on preference. Establish criteria before making the decision.

For example, a team could evaluate each option using questions such as:

  • Does it address a verified cause?
  • Does it support the project objective?
  • Can it be tested?
  • Can the organization implement it with available resources?
  • What operational risks does it introduce?
  • How difficult will it be to sustain?
  • Can its effect be measured?

This approach creates a documented rationale for the selected solution and makes stakeholder discussions more evidence-based.

Example: Improving a Manual Approval Process

Consider a process in which requests frequently remain pending because approvals require repeated follow-up.

During the earlier phases, the team determines that the problem is associated with an unclear approval path and incomplete information at the point of submission.

The Improve Phase could then proceed as follows:

  1. Generate solutions: Consider clearer approval ownership, improved submission requirements, workflow changes, or other relevant countermeasures.
  2. Connect solutions to causes: Confirm that each proposed change addresses the identified approval or information problem.
  3. Select a test: Choose a practical change that can be evaluated without immediately redesigning the entire operation.
  4. Design the future state: Define who submits, who reviews, what information is required, and how the request moves through the process.
  5. Test: Run the revised process under defined conditions.
  6. Measure: Compare relevant performance measures with the established baseline.
  7. Refine: Address problems discovered during the test.
  8. Prepare for Control: Document the approved process and identify how performance will be monitored.

The important point is that the Improve Phase does not stop at proposing a new approval workflow. The change must be tested and evaluated before it becomes the new standard.

Improve Phase Deliverables

Depending on the project, useful Improve Phase outputs may include:

  • Selected improvement solution
  • Future-state process design
  • Solution evaluation or decision matrix
  • Pilot or test plan
  • Test results
  • Risk assessment
  • Updated process documentation
  • Implementation requirements
  • Performance comparison against the baseline
  • Inputs for the Control Phase

Common Improve Phase Mistakes

Jumping to Solutions Too Early

Teams sometimes begin changing the process before establishing why the problem occurs. This can result in solutions that treat symptoms instead of verified causes.

Choosing a Solution Because It Sounds Good

An attractive idea is not necessarily an effective improvement. The solution should be connected to the analysis and evaluated using evidence.

Skipping the Test

Implementing a major process change without testing can make it difficult to identify unintended consequences. Testing provides an opportunity to learn before wider adoption.

Measuring the Wrong Outcome

A change can improve one measure while negatively affecting another part of the process. Evaluation should consider the measures relevant to the project and important process requirements.

Ignoring Implementation Practicalities

A technically effective solution can still fail if responsibilities, information, training, workflow requirements, or operational constraints are not addressed.

Treating Improvement as the End of the Project

The Improve Phase prepares the process for sustainable performance. The Control Phase is still needed to help maintain the gains and detect unwanted changes.

Improve Phase Checklist

Use this checklist before moving an improvement project toward Control:

  • Verified causes have been clearly identified.
  • Potential solutions are connected to those causes.
  • Solution selection criteria are defined.
  • The future-state process has been considered.
  • Implementation risks have been reviewed.
  • The proposed change has been tested where practical.
  • Relevant performance measures have been evaluated.
  • Unexpected effects have been considered.
  • The improved process is clearly documented.
  • Requirements for ongoing control have been identified.

How Data Validation Supports Process Improvement

Improvement decisions depend on reliable information. If the data used to establish a baseline or evaluate a proposed change is incomplete, inconsistent, or incorrectly structured, the team may draw the wrong conclusion about process performance.

For organizations working with operational, financial, or business data, data validation services can support the reliability of information used in improvement initiatives.

Process improvement and waste reduction concept
Reliable process information helps teams distinguish improvement opportunities from data-quality problems.

Improve Phase vs. Control Phase

The two phases are closely connected but serve different purposes.

Improve Phase Control Phase
Develops solutions Maintains the improved process
Tests proposed changes Monitors ongoing performance
Evaluates solution effectiveness Detects unwanted process changes
Designs the future-state process Establishes ongoing process controls

A well-executed Improve Phase should make the transition into Control easier because the new process, its expected performance, and its important monitoring requirements have already been considered.

Final Takeaway

The Improve Phase turns analysis into action. Its purpose is not simply to generate ideas, but to develop solutions that address verified causes, evaluate practical alternatives, test the proposed changes, and establish evidence that the improved process performs as intended.

The strongest Improve Phase projects maintain a clear connection between cause, solution, test, measurement, and implementation. That connection provides a practical foundation for moving from problem analysis toward sustainable process control.

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Written by

Ashraful Haque

Process Improvement Consultant & Operations Specialist with expertise in Lean Six Sigma, financial workflows, and business intelligence systems.

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