Are right things being measured?
What metrics point to success? The critical few metrics each transformation should measure:
Successful transformations are rarely determined by whether the programme is delivered on time or on budget.
They're determined by whether the business is demonstrably better because of it.
Too often, leadership teams receive dashboards full of project metrics that say little about whether value is actually being realised. Instead, I believe every transformation should be measured against a balanced set of business-focused KPIs.
I asked “my good friend” - Chat GPT - for metrics or KPIs to assess the success of a business transformation. Unfortunately, there were some key errors in the suggested answer. There was some great theoretical content:
1. Value Realisation
Benefits delivered vs business case
EBITDA/revenue improvement
Cash generated
Return on investment
If the promised value isn't materialising, the programme isn't succeeding.
2. Adoption
User adoption rates
Process compliance
Training effectiveness
Employee engagement
Technology doesn't transform organisations—people do.
3. Operational Performance
Productivity improvements
Cycle time reduction
Error and rework rates
Customer service performance
Operational excellence should be visible in the numbers.
4. Delivery Health
Milestone achievement
Decision turnaround time
Risk exposure
Dependency management
Programme governance matters, but it should enable delivery rather than become the focus.
5. Customer Impact
Customer satisfaction (CSAT/NPS)
Service quality
Retention
Complaint trends
The customer should notice the benefits too.
6. Organisational Capability
Leadership engagement
Capability uplift
Knowledge transfer
Continuous improvement maturity
The best transformations leave the organisation stronger than they found it.
However, the above are inappropriate measures as they are longer term metrics and final output focussed post completion. Businesses that are planning a transformation need to assess their current progress rather than retrospectively determine how successful their program was one or even 2 years later. By that time any consultants or advisors will long since have departed or internal resources may have been reassigned to other functions or even have left the business! Predictability becomes key.
Business value is generated by the ability to articulate the future performance. Enterprise value is a multiple of next years EBITDA, or a function of revenue, or similar. The value is underpinned by providing confidence in the next result rather than historic performance especially when a transformation will deliver a step change in outcomes. So how do we look at shorter terms measures and provide the confidence for investors, customers, the Board, regulators and internally within the business?
Predictability.
Can leadership accurately forecast outcomes, risks, costs and benefits with confidence?
In my experience, this is where disciplined operating models and data-driven approaches such as Six Sigma create real value. When leaders can predict outcomes with confidence, they make better decisions, intervene earlier and build greater trust with investors and stakeholders.
Control the Inputs
Transformation isn't about delivering projects. It's about delivering sustainable business value. The value comes from identifying which inputs control the outputs and controlling these within upper and lower limits. Controlling the correct metrics will ensure that the business outcome of cost, quality and speed are delivered and the transformation program is a success.
Whether the transformation was required due to rapid growth, M&A activity, PE investment, regulatory requirements, new technology or other there should be a need to demonstrate success quickly and early. There will be 3 or 4 key inputs for every program output required. Control these inputs and the outcomes can be confidently predicted. Metrics around their control with the causal link to the business output is clear evidence that the projected budgets/targets will be achieved.
Experienced consultants will have experience of the inputs to be controlled relating to people, process or technology. This will accelerate the transformation and allow success to be delivered quickly and early. Key inputs for transformations will include the availability of engaged and trained staff, access to the data sets and system availability.