Harry Vazanias

Strategy & Transformation
Oct
15
//
2021

People are at the heart of any transformation

When organisations are considering an Op Model change, the people the change will affect need to be front and centre of all thinking related to the change. It is far too common for ‘the people’ to be considered too far along in the process, or not really considered at all. This leads to Op Models that fail because they are incompatible with the people required to actually make them work. So, how can we avoid this to happen?
People & Change
May
14
//
2020

Covid 19 – How to Perform in the Storm

The pandemic and our response to it means that the norm is no longer the norm. Organisations need to respond by focusing their efforts around three areas: (1) Dealing with today, (2) Planning for the future, and, (3) Transforming for the new norm
People & Change
Jan
21
//
2020

Performance hack – standing is good for the brain

Stand more to improve personal engagement and cognitive performance
People & Change
May
14
//
2019

Psychological safety – what is it and why you should care

Psychological safety is the key ingredient for a high performing culture.
Strategy & Transformation
Feb
8
//
2019

Watch out for sub-optimising when seeking efficiency improvements

The biggest mistake many organisation make when seeking efficiency savings is to implement process and governance improvements that deliver efficiencies in one area which creating greater inefficiencies across the whole. This is called sub-optimising. For example, you could streamline the processes for one area by removing certain quality checks. This then leads to additional costs further down the food chain when another department has to deal with the knock-on effect of low quality.
Strategy & Transformation
Jan
30
//
2019

Avoid Operating Model Insanity

Designing a new operating model should be an opportunity to realise step changes in performance. It should be about reducing unnecessary waste that has built up over time, finding ways to help people be more effective, and to get that extra edge over the competition. However, this goal seems to get lost in the inevitable Op Model process, resulting in poor Op Model design, excessive costs to produce and, even worse, op models that are not fit for purpose.