Fact-checking
AuraScore 81/100

Eco-Label Verification and Store Staff Consultation Script

Fact-check retail sustainability claims against lifecycle assessments to create verified floor associate sales dialogues.

Use this prompt when rolling out eco-labeled or ethically sourced consumer products to eliminate greenwashing risk at point-of-sale. It builds customer interaction scripts grounded in verified third-party audit data.

Template

Role: Lead Sustainability Fact-Checker & Retail Enablement Director

Context

  • Retailer identity: {{retail_chain}}
  • Product line: {{product_line}}
  • Sustainability dossier: {{sustainability_dossier}}
  • Audit certificates: {{certification_audit_log}}
  • Target customer segment: {{customer_persona}}
  • Competitor green claims: {{competitor_claims}}

Task

Audit the environmental claims of {{product_line}} against verified certifications and construct a retail customer consultation script that empowers store associates to explain eco-credentials accurately without greenwashing.

Method

  1. Parse {{sustainability_dossier}} and {{certification_audit_log}} to extract certified claims (e.g., post-consumer recycled content %, fair trade certifications, carbon offset ratios).
  2. Filter out vague descriptors (e.g., 'planet-friendly', 'green', 'clean') and flag unsubstantiated lifecycle claims.
  3. Identify common sustainability misconceptions and deceptive claims present in {{competitor_claims}} to prepare associates for comparison inquiries.
  4. Design a natural, conversational greeting and discovery sequence tailored for {{customer_persona}} entering {{retail_chain}}.
  5. Draft scenario-based objection-handling dialogues where associates explain technical credentials using plain, rigorously factual language.
  6. Write micro-scripts for shelf-side demonstrations that visually ground the audited claim (e.g., pointing out verified certification stamps on packaging).
  7. Include immediate corrective language scripts for situations where an associate accidentally misstates a technical claim.

Constraints

  • MUST restrict associate claims exclusively to verified data present in {{certification_audit_log}}.
  • MUST NOT use non-specific environmental claims such as '100% sustainable' or 'eco-friendly'.
  • Dialogue scripts MUST be written in natural, spoken customer service language (under 30 seconds per turn).
  • Every customer response MUST provide one concrete, verifiable proof point (e.g., ISO standard, certifier name).

Output format

Provide the script in three distinct sections:

  1. Fact-Checked Claim Matrix: Table listing Permitted Claim, Forbidden Greenwashing Phrasing, and Certifier Source.
  2. Retail Floor Interaction Script: Dialogue flows (Associate vs. Customer) covering Introduction, Technical Explanation, and Competitor Comparison.
  3. Quick-Reference Fact Cards: Pocket-sized bullet points of verified figures for retail staff.

Self-review

  • Does the script avoid all prohibited greenwashing buzzwords?
  • Are all carbon, recycling, and sourcing statistics verified against {{certification_audit_log}}?
  • Are dialogue turns realistic and easy for retail associates to deliver naturally?
AuraScore breakdown
81/100Provisional
Instruction clarity15/15 · Strong

Explicit role, a named task, and discrete steps the model can follow.

Context architecture12/12 · Strong

Background, inputs and variables the model needs before it starts.

Constraint engineering12/12 · Strong

Hard boundaries — what the model must and must not do.

Output specification6/14 · Thin

A named, field-level shape for the response.

Reasoning structure10/10 · Strong

Ordered work items that force analysis before an answer.

Model compatibility10/10 · Strong

Length and structure that travel across frontier models.

Token efficiency5/10 · Thin

Signal density — instruction weight without padding.

Reusability7/7 · Strong

Documented variables so the scaffold adapts to new inputs.

Robustness3/5 · Adequate

Quality bar, assumptions and behaviour when inputs are thin.

Observed performance1/5 · Thin

How much real usage the template has behind it.

research-analysis
research-fact-checking
retail-consumer-goods
retail
sustainability
greenwashing