AVOID #7 - Realistic managers unknowingly overcharge

Our book "How Transformation Executives Sleep So Well" describes seven transformation patterns to avoid and seven patterns to embrace. Here is an excerpt.

'Assuming that our transformation survey had only these two questions, an employee would score level 1 when having seen/attended a presentation. The employee would score level 2 if they had some ideas on how to use the strategy and told that to their manager and would score level 3 if these ideas had also been discussed in the team.’

 

          ‘Ah! The maturity model keeps the fundamentals/the content

           of the transformation in a logical order, but based on the

           performance, ambition, and alignment in the team, upper

           management can accelerate or slow down the rate of change.

           Nice. And I don’t see any problem.’ he smiled.

 

‘Unfortunately, there is. The vast majority of maturity models have five levels, and approximately 70% of managers choose – very realistically – level 3 as the target for the next six months. Not too much, not too little. The problem is: more than 80% of employees do not pass level 1.’

 

          ‘I get it. People like Stan have a maturity model to filter for

           themselves what needs to be done and in what sequence.

           And then set a ‘realistic’ target. But Danielle mentioned their

           employee surveys never measured a maturity level. Consequently,

           people like Stan never get a ‘reality check’ of their target. They

think they are realistic while, in reality, they aren’t. Geez!'

Favicon for newsroom.praioritize.com Read the academic paper here. newsroom.praioritize.com

About PRAIORITIZE

PRAIORITIZE is the world’s first SaaS platform for Virtual Consultancy. We use artificial intelligence to help organizations digitally transform in a smart, efficient and science-based way. PRAIORITIZE is owned and operated by Transparency Lab, a Dutch employee-owned company. We started in 2008, understood patterns around 2016 and started with generative A.I. in 2020.

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