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name: reciprocity-offer-design description: Use when designing or auditing free samples, lead magnets, trial offers, concessions, referral gifts, favor exchanges, freemium onboarding, consultation offers, or give-first sales strategies where reciprocity, obligation, uninvited gifts, or concession tactics may affect decisions. license: MIT metadata: version: "0.1.0" displayName: Reciprocity Offer Design category: Marketing tags: influence,persuasion,reciprocity,offers

Reciprocity Offer Design

Use reciprocity to create real value before asking, while avoiding obligation traps. The rule is powerful because people feel pressure to repay favors, including some they did not request.

Quick Start

1. Read guidelines.md to choose the smallest useful reference set.
2. Load references/reciprocity/knowledge.md for concepts and references/reciprocity/rules.md for operating rules.
3. Use workflows/design-value-first-offer.md for repeatable tasks.
4. For audits, surface both the active influence cue and the ethical rewrite.

Contents

File	Purpose
references/reciprocity/knowledge.md	Core concepts and source-grounded definitions
references/reciprocity/rules.md	Rules, boundaries, and practical guidelines
references/reciprocity/examples.md	Bad/better examples for applied situations
references/reciprocity/smells.md	Red flags and anti-patterns to detect
references/reciprocity/checklist.md	Fast review checklist
workflows/design-value-first-offer.md	Create a free or front-loaded offer that builds trust without manufacturing debt.

Operating Principles

• Use only honest evidence. Do not invent popularity, scarcity, credentials, endorsements, or social connection.
• Separate helping a good decision from pushing a shortcut response. If the cue is counterfeit, treat it as a red flag.
• When rewriting, preserve user agency: add context, alternatives, and enough time to decide when stakes are meaningful.

Output Pattern

1. Diagnosis - name the influence principle or cue.
2. Evidence Check - state what proof supports or is missing from the cue.
3. Risk - explain manipulation, trust, or decision-quality risk.
4. Rewrite or Recommendation - provide an ethical alternative.

Validation

Use the prompts in evals/evals.json as smoke tests. A good result identifies the relevant Influence principle, preserves user agency, and avoids fabricated evidence or coercive pressure.