Labor leads to love.
Norton, Mochon, and Ariely showed in 2011 that people value things far more once they helped build them. Effort — even a little of it — turns users into co-creators, and co-creators into owners.
Michael I. Norton of Harvard Business School, with Daniel Mochon and Dan Ariely, had people fold origami and assemble plain IKEA boxes. Builders then bid dramatically more for their own creations — valuing amateur work near the level of experts’ — and assumed everyone else would too.
The 2011 paper named the effect after the furniture that ships as a box of parts. The idea was older: 1950s marketers had learned that instant cake mixes sold better once the recipe required adding an egg. A little labor made the cake feel like the baker’s own.
People assign disproportionate value to things they helped create, even when the labor is small and the result is objectively ordinary. The premium appears only when the work is completed — abandoned or failed builds earn no love.
Participants who assembled a plain black IKEA box bid 63 percent more for it than buyers of an identical pre-built one. Origami folders priced their lopsided cranes near expert work. The labor, not the object, carried the value.
Instant cake mixes stalled in the 1950s until makers took the powdered egg out and asked bakers to crack a fresh one in. One meaningful step converted a factory product into the baker’s own cake — and sales followed.
The premium exists only for completed work. When builders had to disassemble their creation, or never finished it, the extra value vanished. Effort binds people to outcomes — not to attempts.
Setting an avatar, naming a workspace, arranging a dashboard — small acts of building make the product feel authored. Users who shaped their setup return to it, defend it, and forgive it more.
The effect rewards meaningful labor, not friction. Forced steps, hollow wizards, and make-work forms breed resentment, not ownership. Give users one egg to crack — never a form for the sake of a form.
Playlists, boards, saved views, trained filters — every artifact a user builds inside a product raises what leaving would cost. Stored labor is the strongest retention there is, and the easiest to earn honestly.
When a model can build the whole thing in one click, the labor disappears — and with it, the love. The craft now is deciding which egg the user still cracks.
People prize AI output far more when they steered it — wrote the prompt, chose between drafts, edited the result. Surface that authorship: show what the user shaped, and the output stops feeling like the machine’s.
Full automation is the anti-IKEA: nothing invested, nothing owned, easy to discard. Keep one meaningful decision in the user’s hands — the outline, the pick, the final cut — and the result becomes theirs to keep.