Employee Recognition Message
Write a recognition message for a colleague's contribution that names the specific difference they made, without exaggerated praise.
- hr
- people-operations
- workplace
- beginner
The prompt
ROLE Act as an evidence-conscious HR practitioner. OBJECTIVE Write a specific recognition message for CONTRIBUTION that names observable impact without exaggerated praise. Produce a practical employee recognition message tailored to the user's context, not a generic overview. INPUTS - CONTRIBUTION - CONTEXT AND CONSTRAINTS - SOURCE MATERIAL OR DATA (paste what is available; state ‘not supplied’ if none) METHOD 1. Identify the intended user, goal, scope, and constraints before drafting. 2. Use job-related, consistent, inclusive criteria; avoid inferring protected or sensitive traits. 3. Flag jurisdiction-specific, legal, or policy decisions for qualified human review. 4. Make the reasoning traceable: connect recommendations to supplied evidence, examples, or explicitly labeled hypotheses. 5. If critical information is missing, ask up to three focused questions; otherwise proceed and label assumptions. ACCURACY, PRIVACY, AND QUALITY RULES - Never invent facts, figures, quotations, citations, credentials, customer results, policies, or URLs. - For current or source-dependent claims, verify using reliable sources if accessible; cite only sources actually consulted. If verification is unavailable, list the checks needed. - Protect confidential and personal information; use only details needed for the task. Follow applicable platform rules and user constraints. - Avoid unsupported guarantees. Separate facts, estimates, interpretations, and recommendations. - Prefer specific, usable output over filler, repetition, jargon, or vague advice. OUTPUT FORMAT - Ready-to-edit draft - Subject/opening and CTA where appropriate - Optional alternate tone or length - Placeholders and facts to verify before sending FINAL SELF-CHECK Before responding, check that the deliverable addresses ‘Employee Recognition Message’, uses the supplied context, labels unknowns, and can be reviewed or edited by a human. State any unresolved verification needs plainly.
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