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When adoption stalls, diagnose whether users are being asked to make two separate trust decisions at once before defaulting to "more marketing." Dual high-friction trust thresholds compound exponentially, not linearly — no tactical fix will work until one burden is eliminated.
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基于 SOC 职业分类
When reviewing a pre-launch token design, screen for the PvP Casino pattern — ICO + points + airdrops + KOL deals + 100% TGE unlocks combined create a sell-pressure nuclear bomb where extraction dominates contribution. Diagnose as misalignment, not greed. Greed compounds value when aligned; greed without alignment causes ecosystem decay.
When evaluating a launch that's gaining viral traction through speculation mechanics (key trading, point farming, social-priced primitives), check whether the underlying utility actually exists. If <1% of users engage with the stated utility while 100% engage with the speculation layer, it's the Friend.tech trap — temporary hype that collapses within 3-6 months.
When beginning strategy research, structure discovery across four independent lenses — Company, Consumer, Category, Culture — and close each with an implication sentence ("If this is true, then our strategy must..."). Prevents lopsided research that skips lenses and forces findings to bridge into strategy direction rather than stopping at observation.
When translating product details into messaging, climb a 4-rung ladder from Feature → Product Truth → Functional Benefit → Emotional Benefit. Forces every emotional claim to have a credibility chain back to a verifiable feature, beating messaging that's either too technical (specs without meaning) or too floaty (emotion without proof).
When reviewing a Web3 marketing or growth strategy, surface contrarian reframes from a curated bank — "marketing is the product," "communities are built on shared enemies," "cultural architecture beats technical architecture," "consistency of tone is your signature." Used to challenge default assumptions before approving execution.
When building or auditing a brand's narrative foundation, ensure all four foundational stories exist and are coherent — Origin (how it began), Personal (why the founders), Group (the movement), Story of Now (how others join today). Missing any of the four creates a brittle narrative that depends on the others to compensate.
| name | dual-trust-threshold-mapping |
| description | When adoption stalls, diagnose whether users are being asked to make two separate trust decisions at once before defaulting to "more marketing." Dual high-friction trust thresholds compound exponentially, not linearly — no tactical fix will work until one burden is eliminated. |
| composition_level | atom |
| extraction-lens | principle |
| source_attribution | Hivemind Library (attribution gap in source — flagged) |
| license | pending-consent |
| status | candidate |
Example: "Trust this small startup with my wallet recovery keys."
Example: "Believe crypto will still be a meaningful asset class in 20 years."
The exponential nature of dual high-friction trust is the key insight — adoption doesn't get 2× harder, it gets exponentially harder.
If one barrier is already solved by regulation, established institutions, or accepted infrastructure, users effectively experience only one trust decision — don't force-fit the diagnostic. The skill applies when both thresholds are genuinely live.
Bifrost (failure case):
INTERMEDIARY TRUST: [what user trusts product to do]
- Score: Low | Medium | High
SYSTEM CONVICTION: [what user must believe long-term]
- Score: Low | Medium | High
DIAGNOSIS: single trust | double trust burden
IF DOUBLE BURDEN:
- Removable threshold: intermediary | conviction
- Removal mechanism: architecture | distribution | narrowed promise
- Specific change: [structural recommendation]
incentive-surface-diagnostic — pairs with this when adoption stall is in a token-driven productlaunch-mode-decision — visibility timing affects when the trust thresholds become visiblecostly-signal-credibility-check — costly signals can substitute for trust in some cases