(Or: why good analysts fall in love with their ideas a lot less than you’d think)
You already broke the problem into manageable parts (that was analytical thinking). Now comes the part where a lot of cases fall apart: turning those parts into a concrete idea about what’s actually going on, and defending it when someone challenges it. That’s conceptual thinking.
What exactly is a hypothesis in a business case?
It’s a tentative, testable explanation of what’s happening, before you have all the information confirmed. It’s not absolute certainty — it’s your best informed guess, which you’re going to put to the test against the available data.
“A hypothesis isn’t ‘I think so.’ It’s ‘I think X, and here’s specifically what would have to be true for X to be the correct explanation.'”
The “hypothesis-first” approach (used by real consultants)
Counterintuitively, a lot of experienced analysts don’t wait to have all the information before forming an idea — they build an initial hypothesis as soon as they know the problem, based on their experience and a quick analysis, and then actively test it by looking for evidence that confirms or refutes it.
- Without a hypothesis: you investigate everything with no clear direction, piling up data without knowing which parts actually matter.
- With a hypothesis: you investigate with a specific purpose — confirming or ruling out a concrete idea — which makes your analysis a lot faster and more focused.
Example: back to the case of falling sales
After structuring the problem (internal, market, external factors), your conceptual thinking kicks in: “My initial hypothesis is that the drop is due to a new competitor with lower prices.”
Now, instead of investigating aimlessly, you know exactly what to look for: did a new competitor recently enter? Are their prices lower? Does the sales drop line up in time with them entering the market? If the data confirms this, you have a solid hypothesis. If not, you drop it and try the next one.
The mistake of “falling in love” with your first hypothesis
“A hypothesis is a tool for investigating, not a conclusion you have to defend at all costs.”
The biggest risk in conceptual thinking is getting emotionally attached to your first idea, and ignoring (or downplaying) evidence that contradicts it. A good analyst is willing to drop a hypothesis the moment the data stops supporting it, no matter how much they liked that idea at first.
How to build hypotheses that hold up under questioning
- Be specific: “sales dropped because of bad marketing” is vague. “Sales dropped because the digital advertising budget was cut by 40%” is a testable hypothesis.
- Ask yourself what evidence would confirm or refute it: if you can’t imagine any data that could disprove your hypothesis, it’s probably too vague to be useful.
- Hold more than one hypothesis in mind at the same time: this avoids the bias of only looking for evidence in favor of your first idea.
Why does this skill matter so much to a judge evaluating your case?
A judge doesn’t just want to know your final conclusion — they want to see that you can defend it under tough questions. If your hypothesis is well built, with clear logic and supporting evidence, you’ll be able to answer with confidence. If it’s just a hunch dressed up as analysis, any slightly uncomfortable question will make it collapse.
Conceptual thinking isn’t about always being right from the start. It’s about building ideas solid enough that, if they’re wrong, you discover it yourself before presenting them — not the judge. The next step is backing up that hypothesis with real numbers.
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