In this context, HiPPO refers to Highest Paid Person’s Opinion.
HiPPO Effect in simple terms is when a group of people trying to make tough decisions and relying more on opinion rather than on data analysis.
Executives at the top of the organizational pyramid, typically who are paid more, expresses what they think.
It would be difficult to disregard Highest Paid Person’s Opinion and it would be risky in organizational environment.
Below are some of the effects of HiPPO:
Effect could be very subtle
It could lead to Reverse Engineering, approaching from outcome and viewing at the data, resulting in losing/ignoring vital data sets
It could be much riskier, when it is more like an order and less an opinion
Possibility of declining idea trend Org wide, as the ideas and data analysis are not considered, conceived and materialized
Loss of customer and goodwill due to unrealistic commitments (considering Ballpark estimates over realistic estimation techniques)
Digital-native companies, including e-commerce, high-tech, telecommunication, consumer electronics, computer software and online service organizations rely more on data trends and have strong digital culture and vital information’s and decisions are informed by data and analytics. Administrators and Executives act on analytically derived insights and specifics, rather than intuition/experience or opinion. On the contrary many traditional companies are struggling with HiPPO’s and adopting big data and AI/ML initiatives still remains a major challenge.
Few organizations have adopted data-driven practices and approach that would enable them in digital transformation. Most organizations have a long way to go in developing the data driven practices that enable them to realize the competitive edge. Below survey conducted by McKinsey shows the data and digital adaptability by various organizations and industries.
Source: McKinsey, Nov 2018
Handling HiPPO:
HiPPO Effect is the major barrier to data-driven decision-making. However, it can be handled and managed by using below steps:
Having numerous engagement activities at various levels
Creating digital culture
Transforming core parts of business through digitization
Having clear strategy in place driven by analytics
Adopting to industry wide best practices
Involving cross functional experts and consultants while making decisions
Using decision making tools – Decision Matrix, Pugh Matrix, DACI Model, FMEA, Multi-Voting, Force Field Analysis, etc.,
Turning Assumptions to Hypothesis, running “Safe to fail” experiments to validate assumptions
Certainty, HiPPO is one of the biggest deterrents to the use of data-driven decision making. However, it can be managed.
Opinions aren’t Facts! It is just the medium between knowledge and ignorance