---
title: Best Object Scaling | Advanis
description: What is BOS? Best Object Scaling (BOS) aims to measure the relative preference among a set of objects, features, statements, attributes, brands, concepts, policies, processes, etc. through a series of explicit trade-offs that respondents make using an underlying subjective scale. Survey respondents are shown a series of items and asked to select the one they prefer the most.
image: https://blog.advanis.net/hubfs/Imported_Blog_Media/41340989_s.jpg
---

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# Best Object Scaling

 Published by [Advanis](https://blog.advanis.net/author/advanis) on  Sep 27, 2020 10:00:00 PM

## [Best Object Scaling](https://blog.advanis.net/blog/best-object-scaling?hsLang=en)

###### 28 September 2020

[![](https://blog.advanis.net/hubfs/Imported_Blog_Media/41340989_s.jpg)](https://blog.advanis.net/blog/best-object-scaling?hsLang=en)

**What is BOS?**  
Best Object Scaling (BOS) aims to measure the relative preference among a set of objects, features, statements, attributes, brands, concepts, policies, processes, etc. through a series of explicit trade-offs that respondents make using an underlying subjective scale.

![](https://blog.advanis.net/hs-fs/hubfs/Imported_Blog_Media/bos1.png?width=500&height=215&name=bos1.png)

Survey respondents are shown a series of items and asked to select the one they prefer the most. This process is repeated several times using different item combinations, and each time the respondent is forced to make a discriminating choice amongst them.

 

![](https://blog.advanis.net/hs-fs/hubfs/Imported_Blog_Media/bos2.png?width=279&height=592&name=bos2.png)Results are then aggregated across all respondents revealing a statistically valid scale we can use to measure relative item preference.

**Why BOS?**

- Questions are straightforward and simple; we can even administer them via phone.
- A carefully controlled experimental design allows numerous items to be compared without overwhelming respondents.
- The magnitude of the difference between items can be measured, statements such as “item A is twice as preferred as item B, but only half as preferred as item C” can be made.
- An excellent way to quickly evaluate a large number of objects or features (too large for a concept test).

**BOS vs. Rating, Ranking, and Constant Sum scales**

- Prevents the social desirability bias, scale interpretation bias, and satisficing problems found in rating scales.
- Avoids common ranking scale issues such as order bias, response burden, forced ties, and inability to measure the magnitude of the difference between items.
- Allows proper discrimination based on the magnitude of the differences between items without the cognitive burden and rounding issues of constant sum or allocation scales.

**BOS vs. Maxdiff / Best-Worst Scaling **

- Maxdiff assumes that when people select their least preferred (worst) item, they are selecting the inverse of their most preferred (best) item. In practice, this is not always the case.
- It can be cumbersome for the respondent to switch back and forth between their most preferred item, then their least preferred item, and then back to their most preferred item.
- Asking only for the most (or least) preferred item means collecting twice as many responses, so we can provide the same analysis for a more limited budget or provide a deeper analysis (comparing between segments) with the same budget. 

**When can we use BOS?**  
Product design  
Marketing strategies  
Optimizing product mix  
Prioritizing budget allocation  
Proof of concept  
Policy management  
Risk management assessment  
Electoral preferences  
Communication strategies  
And many more…

 

Ready to learn more? [Contact us](https://www.advanis.net/contact-us) anytime. 

[Download](https://info.advanis.net/bos?hsLang=en) this, or other brochures.

 

Tags: [Analytics](https://blog.advanis.net/tag/analytics), [Data Science](https://blog.advanis.net/tag/data-science), [BOS](https://blog.advanis.net/tag/bos)

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