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PeopleSize 2020


There are two versions of PeopleSize 2020 - Easy and Professional.

Both versions use the same dataset.  You would choose the Pro version to have 3 key facilities:




In general, this version is for when you are designing or specifying something of commercial value, or for teaching the concepts involved.

1. Mixed User Groups

You can define the users of your design, by mixing proportions of the measured populations and gender or age groups.

For example you might apply sales demographics data to define the user group.

You set the proportions, and save them with your own choice of meaningful name, such as 'ipod buyers' or according to whatever you are designing.

Then PeopleSize always calculates accurate percentiles of that group. This is important for addressing the issue of exactly who will be using your design - it's unlikely to be 'everyone' or an 'average person'.

2.  Design Percentiles: fit the percentage of People that you intend

  PeopleSize Pro has a 'Monte Carlo Modelling' engine, which calculates the proportion of users who will fit a design in several different dimensions at once.

Because people's proportions vary, every extra dimension that your design has to fit increases the percentage of 'excluded' users. For example, setting 98th percentile stature excludes 2% of users; they stay excluded, whatever else you specify.  Then 98th elbow height excludes some extra people (because some people with 98th %ile stature are more than 98th %ile in elbow height), and so on.  The exclusions accumulate.

For example: take 5 dimensions at 2nd and 98th percentile.  Most people would have thought the design was going to fit 96% of users - but in fact it might only fit 83%!  It's not a 96th percentile design at all.

It's a difficult calculation, because some dimensions tend to be big or small in the same person, like stature and eye height, while others vary more, like stature and waist circumference.  Consequently, working out the overall percentile from a mixture of dimensions is challenging, and needs this Monte Carlo Modelling facility.

3.  Connected Dimension: what happens when the start position of one dimension depends on the size of another?

  This feature is for situations where the start point of one dimension depends on the size of another dimension. Often this happens when a design is adjustable in some way, for example if a car seat is adjusted to suit a long leg length, what is the range of arm lengths for the gearlever?

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