Assessing your pattern of responses
Comparing responses to key agile behaviours
Extracting behavioural factors
These results are a high level view of your Agile IQ® only.
Stage One suggests that you have a number of people focussed on transforming your , but relative to others, your overall agile capability maturity is likely still fairly low. Skills and expertise is typically in the hands of individuals, so delivery is typically not scalable or repeatable.
AI's benchmarks for Stage One
What to expect at Stage 2?
Stage Two s are typically learning how to support self-management and be cross-functional. This typically involves many people focussed on making the shift from linear, predictive, waterfall-style planning to adaptive planning in Sprints.
The will get benefits from "agile" once the basics are truly mastered: agile roles, events, artefacts and values.
AI's benchmarks for Stage Two
If you're in a hybrid waterfall/agile model, it's important to recognise that this just is one step toward becoming agile. Make plans to slowly take more steps to move away from waterfall if you want agile's benefits: higher productivity, higher quality, lower costs and faster lead time.
What to expect at Stage 3?
Stage Three s start to see significant and tangible results from their investment in their agile transformation. Transparency of the health of your products and services is higher, enabling leaders to make informed decisions on where to invest.
AI's benchmarks for Stage Three
What to expect at Stage 4?
Stage Four typically reflects that most people are taking part in agile s. Most Stage Four have shifted from "ways of working" to agile product management operating models. Relative to other , Stage Four indicates your overall agile capability maturity is likely very high. It can take a 3-5 years to reach Stage Four.
Only 10% of digital transformations reach Stage Four.
AI's benchmarks for Stage Four
What to expect at Stage 5?
Stage Five suggests that your is engaged in continuous and relentless improvement at a whole 'systems' perspective over just teams. Stage Five are optimised for adaptation with interchangeable building blocks that allow it to rearrange and reorient as needed in response to internal or external factors, such as a shift in customer needs, stakeholder needs, technology changes, compliance changes, or a sudden disruption in supply chain.
AI's benchmarks for Stage Five
How to stay at Stage 5:
Invest in value stream management and system thinking underpinned by value-based metrics for continuous improvement from frameworks like Evidence Based Management (EBM).
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