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This course moves beyond surface-level fixes by teaching you to challenge pre-packaged solutions. It is designed for consultants, analysts, and managers who face problems where the "obvious" answer is often a distraction.
By the end, you will have a structured framework to investigate any business problem and confidently present your findings.
This course contains the use of artificial intelligence.
The client says their sales team needs more leads. What would you ask before agreeing?
A referral program can look like the obvious answer until you find out that inquiries are being routed to the wrong team. A consultant earns trust by clarifying what the client needs to decide and finding evidence that could change that decision. I built this course to help you do both.
What you’ll build
A diagnostic question that ties the investigation to a decision the sponsor actually owns.
An issue tree and testable hypotheses you can use to direct interviews and data requests.
An evidence matrix that separates verified findings from assumptions you still need to test.
A recommendation that accounts for the team’s capacity, the limits of the evidence, and the conditions for implementation.
Who I designed this for
This course is for aspiring and practicing consultants, business analysts, and managers who are asked to investigate problems that arrive with an explanation already attached. The cases give you room to practice before you need to challenge a sponsor’s assumptions in a real meeting.
How you’ll practice
I’m Dr. Law Payne. I drew on my graduate training in business to design the diagnostic worksheets and worked examples. You’ll use them to test competing explanations, interpret incomplete records, and show what your findings can support.
Enroll and bring one client or team problem you’re trying to understand. By the end, you’ll have a structured way to investigate it and explain your recommendation.
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