How the misfit bias can hurt you
Poor combinations can negatively bias how individual parts are viewed — be it a song on an album, a picture in a gallery or a member of a team


Some combinations just work: a playlist of the year’s top techno tracks a compilation of short stories about famous entrepreneurs a flight of Japanese whiskies. Then, there are others that may seem a little strange, like a lone oil painting in a sculpture exhibition or a bright green ensemble in a fashion collection of otherwise muted hues.
Many new products, services and ideas often amalgamate unrelated elements. Indeed, such combinations are a central feature of innovation. However, research shows that people are more likely to ignore or punish a product with misfit elements as they may view it as confusing.
In a paper recently published in Organization Science, we investigate how the way elements are combined affects the evaluation of the individual parts. Building on the idea that audiences cannot fully disentangle the quality of “fit" between elements from the quality of the elements themselves, we posited that audiences are likely to direct their dislike of a product with misfit features to the individual elements due to their inclusion in a novel combination.
The quality of any creation made by combining different elements is affected by at least two factors: the quality of each element and the extent of fit (or misfit) between them. We hypothesised that individual elements of a product will be rated less favourably when the fit between its different elements is poorer. This effect may be exacerbated when people first conduct a holistic evaluation of a product before assessing its components, as this prompts them to see misfit more saliently.
While individual quality and fit are in principle independent from each other, evaluators may not fully distinguish them. This is influenced by the halo effect – when evaluators fail to assess distinct features independently. When this happens, the assessment of one attribute can bias the evaluation of other attributes either through direct spillover or by affecting the general impression of the product.
We expected that tracks included on albums with poorer fit would face a penalty and therefore perform worse in the market than those on albums with better fit. Furthermore, we predicted that as albums became less important as units of consumption, this penalty would decrease.
To test the first argument, we constructed a measure of misfit at the album level using the sonic features (e.g. valence, acoustic measure, energy and tempo) of tracks included on the album. We then used these sonic features to calculate the fit between tracks.
We found that individual songs were more likely, on average, to become independent hits when the albums they appeared on had high levels of fit. Meanwhile, songs on albums with poorer fit were less likely to appear on the Billboard Hot 100 charts, as well as to remain on the charts, compared to songs from albums with better fit. Incorporating data on sales, radio plays and streaming, the Billboard Hot 100 charts are the standard record charts for songs in the United States, commonly used as a measure of popularity and performance.
To test the second argument, we leveraged an important shock in the music industry: digitisation that led to a dramatic shift in consumption beginning in 2001, from predominantly CD albums to single tracks. We found that the positive effect of album fit on chart success dropped significantly after 2001, suggesting that fit did not matter as much once consumers changed their listening habits.
Galleries with three photographs of the same type were perceived to have considerably better fit than galleries that included an outlier photograph, and misfit galleries were rated lower overall than fit galleries. What’s more, individual photographs were evaluated less favourably when they appeared in misfit galleries compared to fit galleries, even when excluding the ratings of outlier photographs in misfit galleries.
This has important implications for innovation. For decades, research has emphasised the critical role of recombination in the development of new ideas, products and services. Bringing together unrelated, distant elements is a difficult process but is also a key driver of breakthroughs. Our research highlights a previously unrecognised cost of such misfit combinations – they may not just lead to the failure of the whole they may also lead to the failure of its parts.
Beyond the evaluation of products, our findings might also apply to a broader set of organisational contexts. The misfit bias applies to any setting where three conditions are met: individual elements are brought together into a larger combination the performance of the whole depends on the quality of individual elements and the fit between them and the elements themselves face subjective scrutiny.
This dynamic is present when assessing how individual firm resources or routines contribute to overall firm performance, as well as evaluating how individual team members contribute to overall team performance. In both cases, the performance of the “whole" may be unambiguous – for instance, the amount of firm profit or total team output – and a function of the quality of each element. Yet, outsiders, and even insiders, are often unable to fully understand the specific relationship between each element to overall performance. As a result, the misfit bias could come into play.
Our theory suggests that evaluators are likely to undervalue specific firm resources when they are observed in misfit combinations. Similarly, the allocation of credit is shown to be notoriously difficult in teams. To overcome this, managers could evaluate an individual employee’s contribution to a team by observing the changes in team performance when specific individuals are present vs. absent.
In many settings, this type of experimentation can be a helpful approach to overcoming the misfit bias and forming more accurate assessments of the quality of individual elements – be that an artwork in a gallery, an organisational resource or an individual team member.
First Published: Jun 27, 2025, 11:16
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