AveronInstitute

The discipline

Six Sigma, explained properly.

Six Sigma is a data-driven discipline for finding — and permanently removing — the causes of defects, until a process delivers near-perfect results as a matter of routine.

3.4
defects per million at six sigma
1986
the year Motorola coined it
5 phases
in the DMAIC method

First principles

A metric, a method — and a mindset.

Six Sigma is a structured method for improving any process — machining a part, approving a loan, admitting a patient — by attacking the two things customers never forgive: defects and unpredictability. It replaces opinion with measurement, intuition with analysis, and one-off fixes with controls that make improvement permanent.

The name is a statistical promise. Sigma (σ) is the symbol for standard deviation — a measure of how much a process varies. A process “operating at six sigma” keeps so much distance between its natural variation and the customer’s limits that only 3.4 defects escape per million opportunities. That is 99.99966% right — not perfection, but close enough that customers stop noticing anything except quality.

Most organizations run at three to four sigma — thousands of defects per million, each one costing rework, refunds and goodwill. That gap is why employers pay for this skill: a certified practitioner can walk into a familiar mess, find its causes with data, and close it in a way that survives an executive’s scrutiny — and a customer’s.

See how our programs teach it

The sigma scale

What each sigma level allows

Sigma levelDefects / millionYield
691,46230.9%
308,53869.1%
66,80793.3%
6,21099.38%
23399.977%
3.499.99966%

Defect rates follow the industry convention of a 1.5σ long-term shift — the same convention every major certification body uses.

Four decades of results

From one factory floor to everywhere.

Six Sigma earned its reputation the hard way — by producing measurable results at some of the most demanding companies in the world, then proving it could do the same anywhere work follows a process.

  1. 1986

    Motorola invents the method

    Facing competitors whose products simply failed less, Motorola engineer Bill Smith and his colleagues set a radical target: count defects per million instead of per thousand, and engineer every process toward near-perfection. The company called the initiative Six Sigma — and two years later won the first Malcolm Baldrige National Quality Award.

  2. 1995

    GE takes it to scale

    Jack Welch made Six Sigma the centerpiece of General Electric’s strategy — training tens of thousands of employees, tying promotion to belt certification, and crediting the program with billions of dollars in savings. GE proved the method worked far beyond the factory floor, in businesses from jet engines to consumer finance.

  3. 2000s

    The method goes everywhere

    Hospitals used it to cut medication errors, banks to speed loan approvals, airlines to turn aircraft around faster, governments to clear backlogs. As adoption spread, belt certification became hiring shorthand for a rare skill: improving a process with evidence instead of opinion.

  4. Today

    The Lean Six Sigma synthesis

    Modern practice blends Six Sigma’s statistical rigor with Lean’s relentless focus on speed and flow. The combined discipline — Lean Six Sigma — is now the default operating system of operational excellence, and the foundation of every program we teach.

The engine

Five phases. One discipline.

Every Six Sigma project follows the same roadmap. Each phase answers one question, ends with a formal review, and hands verified conclusions to the next — so by Control, nobody is guessing.

D

Phase 1 of 5

Define

What problem are we solving, and why does it matter?

The team turns a vague complaint into a chartered project: a measurable problem statement, a scoped process, named stakeholders, and a clear line to what the customer calls quality. A project that survives Define has already avoided the most common failure in improvement work — solving the wrong problem well.

Key tools

  • Project charter
  • SIPOC
  • Voice of the Customer
  • CTQ tree
  • Stakeholder analysis
M

Phase 2 of 5

Measure

How is the process actually performing today?

Before anything changes, the team establishes the baseline — and proves the numbers can be trusted. That means precise operational definitions, a data collection plan, and a Gage R&R study to confirm the measurement system itself is not the problem. The phase ends with the current performance stated in hard numbers: a capability, a sigma level, a cost.

Key tools

  • Data collection plan
  • Gage R&R
  • Process capability (Cp, Cpk)
  • Descriptive statistics
  • Detailed process maps
A

Phase 3 of 5

Analyze

What is really causing the problem?

Candidate causes come from the team’s experience — fishbone diagrams, the 5 Whys — but none survives on opinion. Each is tested against data with Pareto charts, graphical analysis and formal hypothesis tests, until the team can prove which few causes drive most of the defects. Everything downstream depends on getting this phase right.

Key tools

  • Pareto analysis
  • Fishbone diagram
  • 5 Whys
  • Hypothesis testing (t-tests, ANOVA)
  • Correlation & regression
I

Phase 4 of 5

Improve

What change removes the cause — and how do we know?

The team generates solutions, selects against impact and effort, and pilots before committing. FMEA hunts down the ways a fix could fail before it does; a pilot or designed experiment proves the fix works on real work; mistake-proofing makes the right way the easy way. Only then does the change roll out.

Key tools

  • FMEA
  • Design of experiments
  • Poka-yoke (mistake-proofing)
  • Pilot studies
  • Implementation planning
C

Phase 5 of 5

Control

How do we make sure the gains hold?

Improvements decay unless they are engineered not to. Control charts watch the process for drift, a control plan spells out exactly who responds to what and how, and standard work makes the new method the default. Then the process is handed back to its owner — better, documented, and monitored.

Key tools

  • Control charts (SPC)
  • Control plan
  • Standard work
  • Response plan

The belt ladder

Which belt is yours?

Six Sigma borrows its ranks from martial arts: each belt marks a deeper command of the method and a bigger role on the project.

At the very top of the ladder, industry also recognizes Master Black Belts — the veterans who train Black Belts and steer an entire improvement program. Our programs at Averon Institute cover the four ranks employers ask for by name: White, Yellow, Green and Black.

White Belt gives you the vocabulary and the map. Yellow Belt adds a working toolkit for contributing to project teams. Green Belt makes you the person who leads improvement projects alongside a day job. Black Belt makes improvement the job — advanced statistics, program leadership, and the coaching of Green Belts. Here they are, side by side:

Attribute

White Belt

Foundation · Free

Yellow Belt

Team Member

Green Belt

Practitioner · Most popular

Black Belt

Expert · Most advanced

Best forA fast, credible first credential — proof you speak the languageTeam members who want a hands-on toolkit, not just the vocabularyProfessionals ready to lead improvement projects at workExperts who will run the improvement program itself
Time investment6 hours of material · most students finish within a week14 hours of material · typically 1–2 weeks part-time35 hours of material · typically 4–8 weeks part-time60 hours of material · typically 8–12 weeks part-time
Statistics depthConcepts and vocabulary only — no formulas requiredPractical basics — Pareto charts, check sheets, reading control chartsApplied — hypothesis tests, regression, control chartsAdvanced — DOE, multiple regression, non-parametric methods
Project leadershipContribute confidently as a project team memberBe the strongest contributor on a project teamScope, charter and lead DMAIC projects end to endLead cross-functional programs and coach Green Belts
Exam length30 questions · 45 minutes50 questions · 60 minutes100 questions · 180 minutes150 questions · 240 minutes
PriceFree$99no card required, everything included$129$219one-time, everything included$299$449one-time, everything included$499$749one-time, everything included
EnrollView White BeltEnrollView Yellow BeltEnrollView Green BeltEnrollView Black Belt

Every price is one-time and includes the proctored exam, one free retake, your certificate and lifetime access — backed by a 30-day money-back guarantee.

Two schools

Lean and Six Sigma aren’t rivals.

They grew up in different factories solving different problems — and modern practice needs them both.

Lean

The pursuit of flow.

“Where does time, effort or material go to waste?”

Born in Toyota’s production system, Lean maps how value moves to the customer and strips out everything that slows it down.

  • Attacks waste and delay — the seven classic wastes of waiting, rework, overproduction and the rest
  • Visual and fast-cycle: value stream maps, 5S, kanban, pull systems
  • Delivers speed — shorter lead times, less inventory, smoother flow

Six Sigma

The pursuit of precision.

“Why does the process go wrong when it does?”

Born at Motorola, Six Sigma measures variation, proves root causes with statistics, and installs controls so the fix holds.

  • Attacks variation and defects — the reasons a process goes wrong when it does
  • Statistical and evidence-based: DMAIC, hypothesis testing, SPC, designed experiments
  • Delivers precision — predictable, defect-free output that stays that way

The synthesis

Lean Six Sigma — you don’t have to choose.

In practice the argument is over: mature organizations run both under one banner. Lean sets the pace and clears the path; Six Sigma proves the cause and locks in the gain. Our Green Belt and Black Belt programs teach Lean methods inside the DMAIC frame — because that is how the discipline is actually practiced today.

The next step

Ready to earn your belt?

You know what Six Sigma is. Now become the person who practices it — self-paced, fully online, with a credential anyone can verify.

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