"Leading the Witness" kills good insight
Hereโs the trap:
AI-generated interview questions often lead the witness, baking the โrightโ answer into the question itself.
-> ๐๐
๐ฎ๐บ๐ฝ๐น๐ฒ ๐ณ๐ฟ๐ผ๐บ ๐ฎ ๐๐ผ๐ฝ ๐๐ป๐๐ฒ๐ฟ๐๐ถ๐ฒ๐ ๐๐ป๐๐ฒ๐น๐น๐ถ๐ด๐ฒ๐ป๐ฐ๐ฒ ๐๐ฒ๐ป๐ฑ๐ผ๐ฟ
To test attention to detail, they recommend:
โ๐๐ฐ๐ธ ๐ฅ๐ฐ ๐บ๐ฐ๐ถ ๐ฆ๐ฏ๐ด๐ถ๐ณ๐ฆ ๐บ๐ฐ๐ถ ๐ค๐ฐ๐ฏ๐ด๐ช๐ด๐ต๐ฆ๐ฏ๐ต๐ญ๐บ ๐ฑ๐ณ๐ฐ๐ท๐ช๐ฅ๐ฆ ๐ฒ๐ถ๐ข๐ญ๐ช๐ต๐บ ๐ธ๐ฐ๐ณ๐ฌ?โ
Looks fine, right?
Until you realize:
โข It assumes success
โข It signals the desired answer
โข It leaves no room to assess the actual skill
Thatโs not testing-
Thatโs telling candidates what you want to hear.
At Informed Decisions, we donโt guess, we test.
๐๐ฒ๐๐ฎ๐ถ๐น ๐ง๐ฒ๐๐ ๐ณ๐ผ๐ฟ ๐๐ป๐ฎ๐น๐๐๐๐:
We give candidates a slightly messy dataset with hidden outliers and data-integrity issues, then watch:
โ
What do they catch?
โ
What do they ignore?
โ
How do they investigate?
๐ข๐ฝ๐ฒ๐ฟ๐ฎ๐๐ถ๐ผ๐ป๐ฎ๐น ๐ฆ๐ฐ๐ฒ๐ป๐ฎ๐ฟ๐ถ๐ผ:
โYouโre reconciling vendor invoices across three systems updated asynchronously.
Whatโs your next step?โ
Weโre not asking โHow do you reduce error?โ Weโre watching if they flag risks, introduce checks, or suggest automation.
This is how you move from telling to showingโand from guesswork to real insight.
