“That just made matters worse!”

“There is no silver bullet”

“I didn’t expect that to happen!”

“We’ve spent all this money and all we’ve done is move the problem somewhere else, our customers are still not happy.”

“I have only so much resource. Where do I deploy it to have the most bang for buck?”

 

Sound familiar?

 

Organisations exist in response to dynamic market and/or social needs. They are a complex interaction of processes, people and systems. They are dynamic. Feedback loops, where effects affect causes abound. You can’t look at things as a static, linear set of cause and effects. This leads to poor decisions, unintended consequences and wasted resources.

 

Using refined facilitation techniques and sophisticated modelling tools, Enzyme can help bring understanding and insight to support your decision making. Applying the principles of System Thinking, we build simple, yet immensely powerful simulation models which can be used to:

 

When to use it

• Looking to discover the right mix of initiatives to optimise the outcome for the business
• Understand the complex interplay of multiple factors
• Build consensus and momentum around decisions based on shared discovery/understanding/insight
• Challenge mental models and assumptions
• Avoid the limitations of static cause and effect thinking
• Simulate policy and strategy options
• Integrate the impact of soft and hard variables on performance
• Explore the dynamic interaction of the key drivers of your business and learn how to optimise performance

 

In other words, when you need to make important resource allocation decisions, optimising bang for buck and you need to make them quickly in a way that the management team can understand and support.

 

In common with all our methods, these are constructed remarkably quickly, with a focus on insight and impact over 3 decimal place accuracy.

 

Examples where this has brought rapid insight and impact:

• A major telco built an Integrated business model which linked customer loss and retention drivers and price sensitivity data with the financial results to assist in making resource allocation decisions in the $M100’s.
• A Fortune 100 organisation used a Workforce planning model to improve the planning around skill requirements to support the doubling of a line of business over 5 years.
• A major financial institution modelled the transition of a multi-billion dollar loan book from old to new products in order to minimise customer loss and maximise gross margin
• A major bank in the UK built a dynamic model of an end to end marketing process to identify the optimum response to address an impending customer satisfaction disaster as a result of a poorly designed campaign and, in fact achieve significant business success.
• Several organisations have used our models to optimise Customer Retention strategies.
• A University Library used multiple models over time to dramatically improve levels of service and genuine customer satisfaction levels.

Click here for some examples of our models: 1, 2, 3, 4