Keep the evidence close to the recommendation
I use professional judgment to interpret evidence in context. The useful output is a reasoned decision that can be questioned, acted on and reviewed.
Start with the work, not a preferred solution
Define the question
Agree the intended outcome, scope and decision owner before collecting more material.
Examine the evidence
Review agreed information and participant perspectives. Record source dates, gaps and conflicting observations.
Compare explanations
Distinguish observations from assumptions and examine other explanations that fit the evidence.
Choose and review
Explain options and trade-offs, agree a next step and identify what would change the recommendation.
What a conclusion should make clear
- The observation and where it came from.
- The assumption or interpretation connecting it to the recommendation.
- The date, context and limits of the evidence.
- The alternative explanation or remaining uncertainty.
- The action, owner and review measure.
Career resources and analytical estimates
Career models organise questions about tasks, responsibility and market change. They do not establish a probability of job loss or a population percentile.
Public sources provide context; citing an organisation does not mean it endorses my interpretation. Numerical claims need a traceable source and an explained calculation. A model-based judgment should be distinguished from a measured statistic.
Self-reported assessment inputs also have limits. Confidence labels describe an interpretation of the available information, rather than statistical confidence intervals. Discuss the result alongside the actual work and available choices.
Explore the frameworks and their limits →Information and accountability
I agree what information is needed and how it may be used. Initial enquiries should contain a short, non-confidential description.
AI may assist organisation and exploration; I review conclusions. Sensitive client material is not entered into public AI tools by default. An engagement does not remove your team’s responsibility for operating decisions and implementation.
Read the Privacy Notice →Bring the question you need to resolve
We can agree what evidence would help and whether my experience is a useful fit.
Discuss Your Challenge