transparent choice Completing a Criteria Weights Survey Software User Guide

June 3, 2024
transparent choice

transparent choice Completing a Criteria Weights Survey Software

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Completing a Criteria Weights Survey

Overview

Why do we do it?
Not all your Criteria are of equal importance – Analytic Hierarchy Process (AHP) enables you to quantify those different values
These are subjective judgement calls – by taking a survey & joining a follow up session, you will help create the ‘wisdom of the team’
How do we do it?
Instead of direct allocation of weights, AHP uses Pairwise Comparisons to weigh criteria This is because the human brain works better with comparing two choices than it does with abstract values
What if there is disagreement between voters?
We will meet to discuss the results – and use the software to focus on the points of disagreement. From there we can learn from one another, change votes, or agree to differ and use an average.transparent-choice-Completing-a
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How will this be used?
Each of our Sub-Criteria will have a Weight – these are multiplied by a score for each Project for each sub-criteria… the results will be an overall Prioritization Score for all prospective Projectstransparent-choice-
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Weights-Survey-Software-fig-4-

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  1. Paste URL / Click the Link – Opens up a tab to complete your survey – note this is the

  2. Survey Details – Shows the structure of the model & number of questions you need to complete

  3. Criteria – Click to see detailed description (which you added when building the criteria)
    TIP – you can add supporting documentation here

  4. Progress – Shows proportion of survey completed

  5. Weight – Hit the button to start the survey

  6. Join Meeting – Move into the ‘live’ meeting, once the Facilitator starts the session

  7. My Votes – Analyse your responses once you have completed the pairwise review (see below for tips on this)

Pairwise Review

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  1. Navigate – Save progress, return to survey landing page & see progress so far

  2. Navigate – Move within the Survey, selecting Criteria through the hierarchy, text, or by inconsistency (see below for details)

  3. Question – Always appears in the format:
    In the Context of (i.e. the criteria one level up) What is more important Criteria 1 or Criteria 2?

  4. Vote – Pick from 1 of 3 options: Criteria 1 / Criteria 2 or Equal using the Radio Buttons

  5. Vote – Then (unless you vote ‘equal’) score the extent of the difference using the 9 point scale (AHP Best Practice)

  6. Comment – Add key points to capture rationale behind vote – this is great to support discussion

  7. Navigate – Move onto Next question or return to the top of the Survey page

Check Consistency

transparent-choice-Completing-a-Criteria-Weights-Survey-Software-
fig-8Inconsistency score is a measure of how much your answers make logical sense compared to themselves For example, if A>B and B>C but A<C this makes no sense – it’s logically impossible
The software calculates this rate of ‘error’ & prompts you to review your answers:

20% – Answers are too inconsistent: Please Review them & adjust some votes TIP – think about reducing ‘Strong’ (or more) scores so they are less extreme
10-20% – Acceptability depends on the type of Criteria. For Strategic criteria this level of inconsistency is OK. For more technical criteria this may be too great. Align with your Survey administrator to agree.
<10% – Answers are fine. This is an acceptable level

View Weights

TIP – Once you have answered all questions, go to View Weights. Criteria Weights represent the output of the algorithm that converts pairwise votes to a normalized weight for AHP model criteria.
If they don’t pass your ‘gut check’ go back to your votes and double check them: have you made a mistake, or been too extreme in one of your votes?
Iterate until you are happy with both the votes and the outcome.

  1. Drill into the Criteria – to move between high level & detailed view of outcome
  2. Decimal Places – change display of data
  3. Toggle View – To see scores for Global & Local Weights TIP – Local Weight shows how the sub-criteria compare to each other (they always add up to 100)
    Global Weight shows the sub criteria share of the total model (calculated as Local Weight * Criteria Weight)

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