Six Sigma Tool Navigator: The Master Guide for Teams

2017-07-07 02:10:07

AKA

Criteria Ranking

Classification

Evaluating/Selecting (ES)

Tool description

The ranking matrix tool is applied when rank ordering several options on the basis of a set of team-established criteria or guidelines. Comparing options against each other, ranks are assigned to each option to determine the "best" or "worst" standing of all listed and ranked options on the matrix.

Typical application

To determine a preferred or perceived best problem solution or process-improvement opportunity.

To assist a team in reaching consensus.

To cross-validate any other assessment technique, such as a rating matrix.

To simply rank order all available options on the basis of comparing all options against established criteria.

Problem-solving phase

→	Select and define problem or opportunity
	Identify and analyze causes or potential change
→	Develop and plan possible solutions or change
→	Implement and evaluate solution or change
→	Measure and report solution or change results
→	Recognize and reward team efforts

Typically used by

5	Research/statistics
	Creativity/innovation
	Engineering
4	Project management
	Manufacturing
3	Marketing/sales
	Administration/documentation
	Servicing/support
2	Customer/quality metrics
1	Change management

links to other tools

before

Data Collection Strategy

Brainstorming

Brainwriting Pool

Affinity Diagram

Focus Group

after

Run-It-By

Different Point of View

Problem Specification

Action Plan

Point-Scoring Evaluation

Notes and key points

Assign rank 1–5 in accordance with how well each training method meets the criteria. Rank 1 (low) is the preferred method; lowest total score is overall best training method.

Step-by-step procedure

STEP 1 The team determines the criteria for ranking the options. See example Overall Best Training Method.

STEP 2 A ranking matrix is constructed and all criteria is listed across the top with a respective scale and translation, as seen in the example.

STEP 3 All options to be ranked are listed in the vertical matrix column.

STEP 4 Each option is ranked in comparison to all other options.

STEP 5 All ranks are added across to arrive at a total value. The lowest total ranks as the best option.