Topic: `interactive-tool-mechanisms`

58 entries tagged interactive-tool-mechanisms.

Rules (13)

rule R6 — When variable/uncertain feedback is appropriate, cite Shen-Fishbach-Hsee (benign motivating-uncertainty, process focus, immediate resolution) — NOT Skinner box; respect the dark-pattern caveat
rule R5 — Pair interactivity with restraint: add interactive features ONLY where they let the user do something they need to; "too much interactivity" reduces deep elaboration
rule R4 — Where appropriate, make the user GENERATE inputs (not just pick from menus) — the generation effect d≈0.40 is real but ceilings beyond ~900 words and doesn't scale to expository text
rule R3 — Support agency + competence (2-4 meaningful choices + positive contextual feedback); avoid choice overload and frustration; let the user DO the work
rule R2 — Engineer the robust flow components (clear-goal + immediate-feedback); do NOT promise "deep flow" for short tool sessions; the challenge-skill balance is shaky and contested
rule R1 — Design the tool's opening question for the curiosity inverted-U: ANSWERABLE-but-UNKNOWN; do not go too vague (backfire) or too obvious (no gap)
rule R8 — The tool's number IS the buyer's anchor; sales must be ready to MEET OR EXPLAIN it — bait-and-switch destroys the trust the mechanism case earns
rule R7 — Do NOT invoke the Zeigarnik memory claim in client conversations or content; use goal-gradient / Ovsiankina instead — the memory effect failed to replicate in 2025 meta-analysis
rule R6 — Meet the rep-free buyer with a tool BEFORE the contact form: most B2B buyers prefer to qualify themselves; the tool sits where they want to be met
rule R5 — Pair the IKEA effect with completion: only completed configurations produce psychological ownership; abandoned configurators produce frustration, not love
rule R3 — Maximise self-relevance in the output: show the user's own number, not "people like you average X"; the personalization mechanism is the best-evidenced lever in the brief
rule R2 — Design every multi-step tool for the goal gradient: visible progress + low interaction cost + start-state non-empty when possible
rule R1 — When recommending an interactive tool, LEAD on peer-reviewed mechanism evidence (goal-gradient, self-reference, IKEA, reciprocity, anchoring) — NOT vendor "2× / 47% / 16.9×" stats

Reference entries (45)