because a lot of clean work got handed to machines.

machines ate a lot of the repeatable stuff. humans get the judgment calls.

not exactly harder. more wicked.

wicked like unclear rules, delayed feedback, noisy causes, and no reliable short-term answer key.

more measurement does not always mean better feedback.

a dashboard can tell you what moved. it may not tell you why it moved.

kind work is different. clear rules, repeating patterns, fast accurate feedback.

chess, scales on an instrument, clean drills. you do the thing, get correction, repeat.

yes, when the world is kind.

often. also launches, hiring, strategy, research.

places where the cause is never politely sitting in one department.

because it usually means nobody owns the whole cause chain.

sales says pricing, product says onboarding, marketing says positioning, support says docs.

exactly.

not stops. it stops being enough by itself.

specialization is incredible in closed, predictable worlds. but wicked work often needs ideas from outside the lane.

yeah. basically stealing useful moves from other worlds.

fair. the non-cringe version is just: don’t use the same learning strategy everywhere.

being broad is not the point by itself. matching the strategy to the world is the point.

kind: stable rules, repeatable patterns, quick accurate feedback.

wicked: fuzzy rules, delayed outcomes, political feedback, missing feedback, or metrics that move for unclear reasons.

because status can dress up as signal.

make feedback show up sooner: prototype, ask users, run a tiny test, do the postmortem.

and borrow examples from outside your lane when the problem is fuzzy.

right. sometimes it’s just a weather report.

yes. figure out the game before you copy someone else’s training plan.