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Conjoint analysis into employee preferences for Tivian

Conjoint analysis into employee preferences for Tivian

Tivian is a global research company whose services enable its clients to better understand their employees’ workplace experiences and aspirations and to effectively communicate back to them.

An important determinant of how people feel about their jobs is obviously the pay they receive. But other things matter too, including working conditions and employee benefits. Less tangible phenomena such as people’s sense of purpose and the meaning they derive from their job are also important.

Tivian incorporated 1000minds conjoint analysis software into their research for an important client, a very large and prestigious UK retailer, into how their employees feel about the wide range of employee benefits offered by the company.

This information was used to help Tivian’s client think about fine-tuning the benefit packages they offer to their employees.

15+ surveys

23,000+ survey participants

9 batches of survey participants

Given large contemporary changes in workplaces and society in general – e.g. remote working, new technology, etc – understanding how employees feel about their jobs is more important than ever.

Combined with its extensive experience and expertise, Tivian applies sophisticated technology and methods, including data mining and machine learning, to collect data for their clients and to analyze and interpret it.

About

With more than 20 years’ experience working with Europe’s largest companies, Tivian is a leader in understanding all aspects of employee experiences and aspirations.

Using the data gathered from their clients’ employees, Tivian focuses their clients’ efforts on improving employee experiences.

The challenge

Weighing the value of different employee benefit packages.

Tivian’s client, a very large and prestigious UK retailer, wanted to know how their employees feel about the wide range of employee benefits offered by the company.

Examples of benefits include corporate memberships, long service leave, free legal advice, subsidized tickets to entertainment events, discounts on the company’s products, etc.

This wide range of benefits is expensive to provide. And so Tivian’s client wanted to be sure that their employees valued each benefit highly enough for it to be worthwhile offering it. Might it be possible for the client to fine-tune the benefits such that, as a result, employees would be better off overall?

The solution

Tivian used 1000minds conjoint analysis software to survey employees of the client (a very large and prestigious UK retailer) about the relative importance of 15 employee benefits offered by the company.

Participants’ preferences were elicited and quantified by 1000minds asking them a series of simple trade-off questions.

Which of these two benefit packages do you prefer?
Paid holidays per year
2 more days
Pension contribution
2% increase
This one
Paid holidays per year
No change
Pension contribution
4% increase
This one
They are equal
Which of these two benefit packages do you prefer?
Paid holidays per year
3 more days
Health insurance coverage
Basic
This one
Paid holidays per year
No change
Health insurance coverage
Comprehensive
This one
They are equal
Which of these two benefit packages do you prefer?
Pension contribution
3% increase
Flexible working hours
Yes
This one
Pension contribution
4% increase
Flexible working hours
No
This one
They are equal

As well as its scientific validity and user-friendliness, a major strength of 1000minds is that the information generated about the preferred benefits is for each individual employee (instead of just for the group overall, as for other methods).

Such individual-level data enables similarities and differences between sub-groups of employees with respect to their preferred benefits to be evaluated.

For example, do employees who have been with the company for a long time have different preferences over the benefits relative to more recent hires? Do people with children feel differently than people without kids? And so on.

Such information would enable the client to better tailor its benefit packages to specific groups of employees.

The results

Money in a piggy bank.

1000minds’ surveying tools, which take most people just 10-15 minutes to use, are user-friendly for participants, enabling preference data to be relatively easily and cheaply collected.

More than 23,000 employees of Tivian’s client completed the conjoint analysis survey.

Using the data gathered, Tivian helped their client think about fine-tuning the benefit packages they offer their employees.

Conclusion

1000minds conjoint analysis surveys complemented Tivian’s own sophisticated technology for data collection and analysis.

Together, we were able to help Tivian’s client better understand how their employees feel about the employee benefits offered by the company.

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