Unfair launch the OBA v2

Unfair has released the second version of its Online Brain Analysis tool. The algorithm has been rewritten to more finely analyze individuals beyond the 16 main profiles.

Consideration of learned behavior in addition to innate behavior

The OBA now evaluates learned behaviors more thoroughly, with 13 parameters instead of 6.

This addition of information has many advantages for two use cases:

For your recruitments

To help you choose between two candidates that both have the "same OBA", meaning the same letters.

Example: 2 XMO profiles are no longer considered identical thanks to the new analyzed parameters.

The OBA v2's new parameters improve differentiation between profiles with identical OBA letters

‍For your position evolutions

Learned behaviors allow determining the ability to evolve in a position on the short/mid-term.

Example: in the case of a vacant position, it is possible to identify who in the company will be able to take the position in the short or mid-term while waiting to fill the position, for example.

The OBA v2 now takes into account what is fulfilling in the long-term (innate behaviors) and in the short or mid-term (learned behaviors)

Team benchmarking against successful teams

The strength of Unfair lies in the analysis of over 1500 profiles in 164 successful startups (see Unfair's dataset).

This dataset now allows a team to compare itself against those that have passed the current investment stage.

Startups can now objectively compare themselves to successful teams and quickly identify areas for improvement.

The OBA v2 enables comparison between a team (purple) and those that have advanced to the next investment stage (grey)

> Get a benchmarking of my team

Scientific validity

The OBA was originally based on the work of Dario Nardi, Ph.D., an American neurologist who established the link between Jungian psychological types and brain areas (2008).

With this new version, Unfair takes into account the more recent work of Helen Fisher, Ph.D., who established the link between Jungian types and biochemistry (study of hormone levels, 2016).

Her work has shown that beyond the 16 profiles, there are sub-types that nuance profiles that were previously considered similar.

Example: two XMO profiles can be very different despite a similar XMO base.

Conclusion

Unfair's OBA v2 gives startups a competitive edge with its comprehensive analysis of individuals.

The refined 16 profiles provide a simple, yet granular understanding, while team comparisons offer insights into strengths and growth opportunities.

Maximize your potential with Unfair's OBA v2 and gain a competitive edge in today's challenging market.

> Get a benchmarking of my team