Abstract
We demonstrate a front-end, user-centered method to prioritize unmet needs previously generated from large groups. Several hypotheses were tested: (1) Needs submitted first will be less likely to be high quality than needs submitted after a sustained period of time; (2) Semantically similar need statements will be rated as equivalent in quality; (3) Need statements will be rated as higher quality if a detailed description of the need context was available. Over 20 000 ratings for 1697 statements across three common product areas were analyzed. The results showed needs that first come to mind are not lower quality than needs that come to mind later and can inform early design phases to balance in-depth research and size of user groups.
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