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Decision Making Made Simple

Here's an easy to use free online decision analysis tool to help you weigh up the advantages of one decision choice against another based on you own preferences. To use it, just follow the example instructions below and enter the different choices you are considering, and how appealing you find each choice based on the factors influencing the choice. Other sections of this website give some easy to follow examples too, so you can gain familiarity.

When you are ready to begin, follow the simple example steps below to populate the fields provided. The highest score is the best decision. Easy as that - Decision Making made simple.

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Try your current decision dilemma

Choice 1

Factor Description
F1
Factor Appeal Score - (Low = Less appeal)
Importance Level - (Low = Less important)
Score

Step 1 - Choice 1

For the Choice 1 field put what you believe is the best choice.

(Your 2nd and 3rd choices are added later.) Add as many choices as you need.

Step 2 - Factor F1

For F1 put what makes the choice most appealing.

(2nd, 3rd, most appealing factors F2, F3, etc are added next.) Add as many factors as you need.

Step 3 - Factor F2 + F3

Click on Add a Factor and put what is second most appealing for F2.

Click Add a Factor again & add F3. Keep going until all the appeal factors are included.

Step 4 - Choice 2

Click Add a Choice and put the second most appealing choice.

(Notice the field names for F1, F2, and F3 are inherited from choice 1.)

Step 5 - Choice 3

Click Add a Choice and put the next choice until all choices are added.

The next step is to set slider scores. Move to step 6.

Step 6 - All F1 Scores

For the F1 factor, drag all the F1 sliders to set scores where a higher scores are for higher preferences.

Realistic scores are key to making the right decision.

Step 7 - All F2 Scores

For the F2 factor, drag all the F2 sliders to set scores.

Higher scores for higher preference.

Step 8 - All F3 Scores

For the F3 factor, drag the F3 sliders to set scores.

When all the F factors have scores, go to Step 9.

Step 9 - Importance Levels

Importance can only be set in the first panel but it gets used for all choices. Go to the Choice 1 panel, and set importance level scores for all the F factors.

Realistic scores are key to making the right decision.

Step 10 - Finally

Click on Get Result. The highest TOTAL score is the best decision and becomes highlighted.

Return and edit some slider values and Get Result again to see how things change.

Accuracy and consistency achieve the most genuine outcome.

The above example was done with intuitive scores and works well for decisions of lower importance. For decisions of high importance, accuracy is needed, so the concepts of Percentage and Ratio have to be applied to the anlysis.

The percentage aspect is the reason slider markings are based on scores up to 100.

Here's how to do an accurate analysis starting with the Percentage aspect.

In the example above at Step 6 where there are 3 choices, the added up scores for all three F1 sliders should end up as 100 in order to represent 100 percent. The same applies for all three F2 sliders, and also for the F3 sliders.

If this had been a five choice decision, there would be 5 sliders for F1 and the added up scores for all five F1 sliders would also need to reach 100. E.g. 5 scores of 20 each would give 100 - meaning 100 percent.

Reaching totals of 100 ensures the scoring is consistently balanced, which results in good accuracy.

Unfortunately, it is very unlikely that intuitive scores will naturally add up to 100 unless by chance, so it becomes necessary to put the scores in proportion too. Proportioning is done by finding their ratios to eah other. Here's how to apply Ratios to the chosen scores.

When setting the scores, it should be done in relation to the other values. For example, if there were five different factors with a score of 20 each, it would make the ratios equal and would therefore be an easy assessment of ratios. However, it would mean they all have exactly the same level of appeal which is unlikely to happen with real decisions.

In reality, there might be one you really like, a couple you don't like, and the last couple where you have a neutral opinion, so you might score them as 40, 9, 11, 20, and 20 respectively. Notice that 40 + 9 + 11 + 20 + 20 = 100. Also notice that with 5 choices, a score of 20 represents a neutral score. There is a numeric example below to demonstrate this explanation and shows how to calculate ratios.

Imagine there are 4 choices, C1 to C4, which relate to a time duration. Let's assume

  • F1-C1 slider shows 33 hours of effort,
  • F1-C2 slider shows 36 hours,
  • F1-C3 slider shows 42 hours, and
  • F1-C4 slider shows 39 hours.

Adding up the 4 slider values gives 150 (i.e. 33 + 36 + 42 + 39 = 150).

Three points should become apparent to you. Firstly, when there are 4 choices, the neutral score will be 150/4 giving a neutral score level at 37.5 each. Second, when set as a percentage ratio score of 100, the neautral score will be 100/4 giving a neatral score level of 25. Thirdly, when in their current form of hours, two scores are below the neutral score, and 2 are above.

To set the ratio as a percentage, each value needs to be adjusted to become 1.5 times smaller because 150 / 100 = 1.5

Reducing each value by 1.5 (150 / 100) gives the following:-

  • F1-C1=22, (since 33/1.5 = 22)
  • F1-C2=24, (since 36/1.5 = 24)
  • F1-C3=28, (since 42/1.5 = 28) and
  • F1-C4=26. (since 39/1.5 = 26)

Each value has the same ratio as before but now the values total 100 (i.e. 22 + 24 + 28 + 26 = 100).

Setting values as a ratio to each other gives extremely accurate results from this decision analysis tool.

For the highest accuracy of all, take actual values wherever possible such as price information and ratio them to each other to give a total added up value of 100. Do the same with the importance level scores where the ratio values add up to a total of 10.

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