Explain benefits changes to employees in plain language
Turns benefits plan documents into a clear employee explanation with examples, FAQs, and actions they need to take.
The prompt
Help me explain changes to our employee benefits in plain language.
What's changing: [e.g. new health plan options, premium changes, retirement match, new leave benefit]
Plan details: [PASTE summaries or plan documents]
Who is affected: [all employees / certain groups / locations]
Key dates: [enrollment window, effective date, deadlines]
What employees must do: [ACTIONS - e.g. re-enroll, choose a plan, nothing]
Channels: [email / intranet / town hall / manager briefing]
Write:
1. Announcement email - what's changing and why, what it means for them, what they need to do and by when (in bold), where to get help. Under 300 words.
2. Side-by-side comparison table - old vs. new, in plain words (define terms like deductible, copay, vesting).
3. 2-3 worked examples for typical situations (e.g. single person with few doctor visits, family with a planned surgery) - using only figures from the plan details, marked [CONFIRM].
4. FAQ - 10 likely questions with answers.
5. Manager talking points for team questions.
6. Reminder message to send 3 days before the deadline.
Rules: do not invent costs or coverage details; flag anything unclear as [CHECK WITH CARRIER/BROKER]. Avoid advising individuals which plan to choose - direct them to decision tools or the benefits team.
Highlighted [brackets] are blanks to replace with your own details.
Fill in the blanks and use this promptMore Email & Workplace Communication prompts
What to fill in
- PASTE summaries or plan documents
- all employees / certain groups / locations
- enrollment window, effective date, deadlines
- ACTIONS - e.g. re-enroll, choose a plan, nothing
- email / intranet / town hall / manager briefing
- CONFIRM
- CHECK WITH CARRIER/BROKER
How this prompt is built
This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.
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