Practical guide · Kaizen and continuous improvement
DMAIC: the five phases, the tools and gate for each, an example, and DMAIC vs PDCA, 8D and A3
Short answer
DMAIC (define, measure, analyze, improve, control) is a five-phase method for fixing a process problem when you do not yet know the cause and have to find it in data. Each phase has its own tools and an exit gate: the team shows the output, and the sponsor signs it off, before the next phase starts.
DMAIC is said duh-MAY-ick. Define writes the problem as a number. Measure checks the gauge and sets a baseline. Analyze finds the causes the data supports. Improve tests a change against the baseline. Control writes the new method into the standard and hands it to the process owner. It is the core method of Six Sigma, though plants use it without belts. If you already know the fix, make the fix. Against PDCA, DMAIC adds a measurement phase and gates. Against 8D, it targets a chronic problem, not one event.
Last reviewed:
What is DMAIC? What the five letters stand for
DMAIC stands for define, measure, analyze, improve and control. The order is the point: a team may not start on a fix before it has a baseline and a cause the data supports, or close before the gain has held. The Lean Enterprise Institute's lexicon calls it a structured approach to removing defects and variation.
It is the project method inside Six Sigma, so belts and tollgates surround it. You do not need a belt: a charter, a good gauge, plain charts and a sponsor who holds the gates will do.
Some companies add a first step, Recognize, to decide whether the problem deserves a project (RDMAIC). DMADV, also called DFSS, is the sister method for something that does not exist yet.
| DMAIC | DMADV | |
|---|---|---|
| Use it for | A process that already runs | A new product or process design |
| Phases | Define, measure, analyze, improve, control | Define, measure, analyze, design, verify |
| Last two phases | Improve the process, then control it to hold the gain | Design the new one, then verify it meets requirements |
Source: Wikipedia, Six Sigma.
Six Sigma is also tied to 3.4 defects per million opportunities, but that is not part of DMAIC. Wikipedia says the aim is to improve every process, not always to reach 3.4. The DPMO calculator puts a defect rate on that scale.
The five DMAIC phases: tools and the exit gate for each
The five phases of DMAIC are define, measure, analyze, improve and control. Define sets the problem and goal, Measure takes a baseline you can trust, Analyze finds the cause in data, Improve tests a fix, Control makes it stick. Each phase ends at a gate. If the team cannot show the gate, the phase is not done, however many meetings it has held.
The five DMAIC phases, each with the tools and the gate that closes it
Define
What is the problem, how big is it, what is the goal?
Main toolsProject charter, SIPOC, voice of the customer, critical to quality (CTQ)Exit gateCharter signed by the sponsor: problem and goal as numbers, scope, team.Measure
How does the process perform now, and can the numbers be trusted?
Main toolsData collection plan, check sheet, gauge R&R, process mapExit gateA baseline for the charter's metric, long enough to include normal swings.Analyze
What causes the gap between the baseline and the goal?
Main toolsPareto chart, fishbone, 5 Whys, scatter plot, hypothesis testsExit gateEach cause to act on is backed by data. Ruled-out causes are written down.Improve
What change removes the cause, and does it work?
Main toolsBrainstorming, FMEA, a pilot run as a PDCA cycle, design of experimentsExit gateA pilot result against the baseline, and a rollout plan.Control
How do we keep the gain?
Main toolsStandard work, control plan, control chart, response plan, auditsExit gateNew standard in use, result held for the agreed period, owner has taken over.
- 1
Define: write the problem as a number
State what is wrong, where, since when, how big and what it costs. Leave out cause and fix. The project charter holds the problem, goal, scope and team, and a SIPOC draws the edges of the process. Ask what the customer needs (critical to quality).
- 2
Measure: check the gauge, then take the baseline
If two people measure the same part and disagree, a baseline built on their numbers is noise. Run a gauge R&R study first (the gage R&R study sheet is one way), then collect the baseline over several weeks, not one day. The process capability calculator fits a measured output with limits.
- 3
Analyze: split the data until a pattern shows
Split it by machine, shift, product, supplier or tool age. A Pareto chart picks the biggest category. A fishbone or 5 Whys lists candidate causes, and the data accepts or rejects each. A cause nobody tested is a guess.
- 4
Improve: test the simplest change small
Pick the simplest change that removes a confirmed cause and pilot it, a PDCA cycle inside DMAIC. An FMEA on the change asks what it could break. Compare the pilot with the baseline, counted the same way.
- 5
Control: make the gain stay
Gains slip away here. Write the new method into standard work, put the check on a control plan, chart the metric on a control chart so drift shows early, and agree who acts when the number moves. Close after the result has held for the charter's period.
Can the team pass the Measure gate?
Does a second person get the same reading on the same part?
If no
Fix the gauge or how it is used, then run the check again. Do not collect a baseline yet.
Does the baseline run long enough to include normal swings, such as shifts, tool changes and material lots?
If no
Keep collecting. One good or bad day is not a baseline.
Is the metric counted the way the charter counts it?
If no
Recount, or have the sponsor restate the charter number, so the goal and the baseline are the same measure.
Every answer right
The sponsor signs the baseline and the team starts Analyze.
Three questions in order. If a second person does not get the same reading, fix the gauge. If the baseline is too short to show normal swings, keep collecting. If the metric is counted differently from the charter, recount. Answer all three well and the baseline is signed and Analyze starts.
A worked DMAIC example from a machining cell
Illustrative example. Cell 4 machines aluminum valve bodies. Scrap has been "around six percent" for a year, everyone has a theory, and the plant manager asks for a project.
Illustrative: a valve body scrap project through the five phases
Example numbersDefine
- What the team did
- Charter from 13 weeks of records: 975 of 16,250 valve bodies scrapped (6.0 percent) at $38 a part, $37,050 a quarter. Goal: 3.0 percent.
- What it found or decided
- In scope: cell 4, all shifts. Out: the casting supplier.
Measure
- What the team did
- Two operators measured the same parts with the dial bore gauge and differed by up to 0.02 mm on a 0.05 mm tolerance band. An air gauge cut that to 0.004 mm. Then every scrapped part was logged for four weeks.
- What it found or decided
- 300 scrapped in 5,000 parts, 6.0 percent, with a reason for each (log below).
Analyze
- What the team did
- Plotted bore diameter against parts since the last insert change. Inserts were changed every 600 parts.
- What it found or decided
- 147 of the 171 oversize bores came from parts 451 to 600 of an insert's life. Oversize rates were about equal on all three shifts, so operators were ruled out.
Improve
- What the team did
- Insert changed every 450 parts for four weeks. An FMEA on the change added a check that each new insert is seated.
- What it found or decided
- Oversize bores fell from 171 to 18 in 5,000 parts. Total scrap fell from 300 to 147, which is 2.94 percent.
Control
- What the team did
- 450-part limit set in the tool-life counter, standard work and control plan. Weekly chart of oversize bores per 5,000 parts, a response plan, handover to the supervisor.
- What it found or decided
- Close when scrap has held at or below 3.0 percent for eight weeks.
The sums: 975 / 16,250 is 6.0 percent, and 975 x $38 is $37,050. The four-week log covers 5,000 parts, 1,250 a week, and 300 were scrapped, also 6.0 percent.
| Scrap reason | Parts | Share | Cumulative share |
|---|---|---|---|
| Bore oversize | 171 | 57% | 57% |
| Porosity | 63 | 21% | 78% |
| Thread damage | 36 | 12% | 90% |
| Surface scratch | 18 | 6% | 96% |
| Other | 12 | 4% | 100% |
| Total | 300 | 100% | 100% |
Illustrative: the four-week scrap log from the Measure phase, as a Pareto chart
Example numbers- Bore oversize: 171, 57% of the total, cumulative 57%.
- Porosity: 63, 21% of the total, cumulative 78%.
- Thread damage: 36, 12% of the total, cumulative 90%.
- Surface scratch: 18, 6% of the total, cumulative 96%.
- Other: 12, 4% of the total, cumulative 100%.
Bars for scrapped parts in four weeks: bore oversize 171, porosity 63, thread damage 36, surface scratch 18, other 12, with the cumulative line at 57, 78, 90, 96 and 100 percent.
Bore oversize is 171 / 300, or 57 percent of the scrap, and 171 / 5,000, or 3.42 points of the 6.0. Parts 451 to 600 are 150 of every 600, which is 25 percent of production, yet they gave 147 of the 171 oversize bores, or 86 percent. After the change the other reasons stayed at 129 parts (63 + 36 + 18 + 12), so scrap was 129 + 18 = 147 parts, or 2.94 percent, just inside the goal. That is 153 fewer scrapped parts per 5,000, worth 153 x $38 = $5,814. A year is 13 blocks of 5,000 parts, so the saving is 13 x $5,814 = $75,582, less about $430 for the 36 extra inserts at $12 each.
DMAIC vs PDCA, 8D and A3: which one to use
The four overlap. What separates them is its size and how much proof it needs.
DMAIC next to PDCA, 8D and A3
DMAIC
- What it is
- Five phases with gates
- Best for
- A chronic problem, cause unknown, findable in data
- Typical length
- Months
- Proof it asks for
- A checked gauge, a baseline, tested causes
PDCA
- What it is
- Four steps in a loop: plan, do, check, act
- Best for
- A change to test, or the daily loop of small improvements
- Typical length
- Days to weeks, repeated
- Proof it asks for
- Enough to compare before and after
8D
- What it is
- Eight steps in a team report, with containment
- Best for
- One failure or complaint that needs containment
- Typical length
- Days to weeks
- Proof it asks for
- A verified root cause and fix
A3
- What it is
- One page that tells the problem-solving story
- Best for
- A problem one owner can work through, with a coach
- Typical length
- Weeks
- Proof it asks for
- Whatever the story needs
They fit together. A DMAIC project runs PDCA cycles inside Improve, and an A3 can write it up. A complaint mid-project usually gets its own 8D report. See the PDCA examples, the A3 guide and problem solving methods compared. The lean method navigator suggests one.
When not to use DMAIC
DMAIC is slow on purpose. It pays when the cause is unknown and the data can find it. On a problem you can already fix it wastes weeks, which is why Businessmap's DMAIC page warns it can be heavy for simple, obvious problems. A missing guard needs repair and a line in the standard, not a charter.
Which method for which situation
Situation
You already know the cause and the fix
Use
Make the fix, check that it worked, update the standard
A project adds weeks, not information.
Situation
One event or complaint, containment needed now
Use
8D or a short problem report
The urgent work is containing this event.
Situation
Cause unknown, one owner, a few weeks
Use
5 Whys or an A3
Enough structure for one person's problem.
Situation
Cause unknown, output varies, data exists, several functions involved
Use
DMAIC
The job the method was built for.
Situation
The product or process does not exist yet
Use
DMADV or a design process
DMAIC improves a process already running.
Situation
There is no way to measure the problem
Use
Build the measurement first
Measure cannot set a baseline without one.
Two questions decide it: can you write the problem as a number, and is the cause still unknown? If both are yes, write a charter.
Common DMAIC mistakes
Five DMAIC mistakes and what to do about each
Mistake
A solution written into the charter
What goes wrong: Analyze becomes a hunt for proof of the idea.
Do this instead
State the problem as a number. Let Analyze find the cause.
Mistake
Skipping the measurement check
What goes wrong: The baseline is partly gauge error, so a real gain hides in noise.
Do this instead
Have two people measure the same parts first.
Mistake
A scope that covers the plant
What goes wrong: Too many causes: the project stalls in Analyze.
Do this instead
One process, one product family, one defect type.
Mistake
Improve before Analyze
What goes wrong: A favorite fix, with the cause untested.
Do this instead
No solutions until a cause has data behind it.
Mistake
No real Control phase
What goes wrong: The gain drifts away and nobody sees it go.
Do this instead
Standard work, control plan, response plan, hold period, owner.
DMAIC templates, tools and software
Start with the DMAIC project charter, a free form with a tollgate checklist, and the DMAIC storyboard, which lays the five phases out as five columns on one board. The DMAIC examples outline 16 projects. For numbers, try the first pass yield calculator and the Pareto chart maker.
In LeanSuite, Kaizen & Projects manages every improvement project in one visual hub, from a small kaizen event to a full DMAIC project. Lean Studio has a DMAIC storyboard among its ready-made boards.
Continuous Improvement Software
Run a DMAIC project in LeanSuite
Use A3, DMAIC, PDCA, PDSA or just-do-it templates, or define your own method and phases.
Go deeper
This page is the short version. These guides cover each part in full.
- DMAIC in a Plant: Phase Gates, Tools, Worked ExampleA second worked project, a weld defect, with the arithmetic shown.
- DMAIC Process: The 5 Phases of Six Sigma, With ExamplesExamples from manufacturing, healthcare and supply chains, and DMAIC vs DMADV.
- What is DMAIC & PDCA in Lean Manufacturing?When a project is needed and when a faster PDCA cycle is enough.
- PDCA Cycle: Plan, Do, Check, Act Steps ExplainedThe short improvement loop that DMAIC runs inside its Improve phase.
All our articles on this subject are in the kaizen and continuous improvement topic.
Free templates and tools
- DMAIC storyboardA Lean Studio board with one column per phase, from Define to Control, so a sponsor can read the project in five minutes.
- DMAIC project charter templateThe Define-phase charter on one page: problem and goal, metrics, scope, team and phase dates, with savings and a tollgate checklist.
- Defect check sheetTally defects by type and day, with units inspected, defect rates, a location sheet and the week's Pareto.
- Gage R&R study sheet10 parts, 2 or 3 appraisers, 2 or 3 trials: EV, AV, GRR, PV, %GRR and ndc by the average and range method.
- Pareto chart templateA tally sheet, the Pareto by count and by cost with the cumulative line and the 80 percent threshold, and a before and after comparison. Excel sorts and draws it.
- Control plan templateWhat is checked at each step, against which limits, how, how often, and what to do when a result is out.
- PDCA templateOne improvement cycle on one page: plan, do, check against the goal, then standardize or adjust. PDF and Excel.
- DPMO and sigma level calculatorDPMO, defects per unit, yield and sigma level from the defects found, units checked and opportunities per unit.
- Process capability (Cp, Cpk) calculatorCp and Cpk against your specification limits, plus Pp and Ppk from pasted measurements, with a distribution chart.
- First pass yield (FPY) calculatorFirst pass yield at each step and rolled throughput yield (RTY) across the whole process.
- Pareto chart makerPaste categories and counts: sorted bars, cumulative percentage line and the vital few at the 80% line, as a PNG or SVG.
- Lean method navigatorSix questions about one problem, then the lean method to start with, the two that follow, why each fits, five steps for Monday and what it will not solve.
Doing this in LeanSuite
Kaizen & Projects
Manage every improvement project in one visual hub, from a small kaizen event to a full DMAIC project, and track each one through to results.
See Kaizen & ProjectsLean Studio
LeanSuite's whiteboard for lean teams, with 30 ready-made boards including the fishbone, 5 Whys, A3 and 8D.
See Lean StudioAI Root Cause Analysis
Describe a problem, answer the AI's questions, and get the likely root causes and an action plan.
See AI Root Cause Analysis
See it on your own lines
Bring the problem you are working on to a 45-minute demo. Or look around with sample data first, or pilot LeanSuite on your own lines for 90 days, with the setup done by our team.
FAQ
Questions about dMAIC
Define, measure, analyze, improve and control. Define writes the problem, goal and scope, and Measure checks the gauge and sets a baseline. Analyze finds the causes the data supports, Improve tests a change against the baseline, and Control writes the new standard and hands it to the process owner. Each phase ends at a gate the sponsor signs off.
DMAIC is a five-phase method for solving a process problem when the cause is unknown. It comes from Six Sigma. Each phase has tools and a gate, so the team measures a baseline, proves the cause with data, tests a fix against the baseline and then makes the gain last.
Duh-MAY-ick, with the stress on the middle syllable.
DMAIC improves a process that already runs. DMADV (define, measure, analyze, design, verify) is for a product or process that does not exist yet, so its last two phases design and verify something new instead of improving and controlling something old. Pick by asking whether there is a running process to measure.
We have no survey figure for how many plants use it, so we will not quote one. What does still apply is the discipline: write the problem as a number, check the gauge, take a baseline, test the cause and keep the result. Plants run that with or without belts, and DMAIC is one way to organise it.
A machining cell scrapped 6.0 percent of valve bodies. Measure showed 57 percent of the scrap was oversize bores. Analyze showed 86 percent of those came from the last quarter of each cutting insert's life. Improve changed the insert every 450 parts instead of 600, cutting scrap to 2.94 percent. Control put the limit in the tool-life counter and the standard work. The figures are illustrative.
PDCA is a short loop of plan, do, check and act, suited to testing a change and to daily improvement. DMAIC adds a define phase, a measurement check, a baseline, tested causes and a control phase with gates, which suits a chronic problem whose cause is unknown. A DMAIC project runs PDCA cycles inside its Improve phase.
Do not use it when you already know the cause and the fix: make the fix and update the standard. Do not use it for a single event that needs containment now, where an 8D fits, or when the problem cannot be measured. It is also the wrong tool for a product or process that does not exist yet, where DMADV or a design process fits.
No. Belt training helps with the statistics in Measure and Analyze, but a team can run DMAIC with a charter, a checked measurement, plain charts such as a Pareto and a run chart, and a sponsor who holds the gates.
Related guides and tools
- DMAIC examples: 16 projects outlined phase by phase
- DMAIC training deck: teach the five phases to a project team in about half an hour
- DMAIC project charter: the Define-phase form with a tollgate checklist
- Problem solving methods: where DMAIC sits next to A3, 8D and PDCA
- PDSA cycle: the study step that DMAIC's Analyze phase expands
- PDCA: the shorter cycle for a smaller change
- 8D problem solving: the eight disciplines for a customer complaint
More method guides
- The 6 Ms of production
- Poka-yoke
- Model area 90-day plans
- Moving from Excel to one system
- Reducing machine downtime: a worked month
- Andon
- Cycle time vs lead time, worked through
- Root cause analysis
- How many operators a line needs
- Reducing scrap and rework: a worked month
- Unsafe acts and unsafe conditions
- Just culture
- Stop-work authority
- Material review board (MRB)
- Nonconformance and NCRs
- Problem solving methods
- Quad chart
- OEE calculation
- Quality assurance vs quality control
- SOP meaning and format
- Job hazard analysis
- Near miss reporting
- Fishbone diagram
- Pareto chart
- Histogram
- Control chart
- What is a gemba walk
- What is lead time
- What is operational excellence
- How to improve product quality
- Preventive vs predictive maintenance
- Kanban
- FMEA
- PDSA cycle
- Safety moments
- Just-in-time manufacturing
- Kaizen
- 5S
- Total quality management (TQM)
- CAPA (corrective and preventive action)
- Layered process audit (LPA)
- Lean tools
- Lockout tagout (LOTO)
- A3 problem solving
- Preventive maintenance
- APQP
- High reliability organization (HRO)
- Manufacturing KPIs
- Quality metrics
- Practical problem solving
- CMMS
- Risk assessment
- Production efficiency
- Total productive maintenance (TPM)
- Reliability-centered maintenance (RCM)
- Hierarchy of controls
- Personal protective equipment (PPE)
- Emergency action plan
- Safety signs
- Warehouse safety
- ISO 9001
- SIPOC diagram
- Rolling action item list (RAIL)
- Pugh matrix
- Flowchart
- Project charter
- ISO 9001:2026
- Fleet maintenance
- IATF 16949
- AS9100
- ISO 14001
- ISO 45001
- One point lesson
- Standard work
- Lean manufacturing principles
- Toyota Production System
- 5W1H
- 5 Whys
- Continuous improvement
- Takt time
- PDCA
- 8D problem solving
- Prioritization matrix
- Gemba walk questions
- 5W1H questions
- Layered process audit questions
- 5S audit questions
Or browse the topics, the full library and the lean glossary.
Rather see it on your own problem?
Bring the problem you are stuck on, and we will show you on a call how LeanSuite handles it.

