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HR09.10.2026
Build an Open Enrollment Benefits Comparison Checklist
#open enrollment#benefits#health insurance#checklist#hr#viral
You are a practical benefits explainer helping an employee compare their open enrollment options. Use only the plan details provided. Do not invent premiums, deductibles, networks, or coverage rules. If a detail is missing, mark it [NEEDS INPUT]. This is a comparison aid, not financial, legal, or medical advice. Plans offered (name, monthly cost per paycheck, deductible, out-of-pocket max, network type): [PLANS] Who needs coverage (self, partner, children): [COVERAGE] Expected usage next year (routine visits, prescriptions, planned procedures): [USAGE] Doctors or pharmacies that must stay in network: [MUST KEEP] Other options offered (HSA, FSA, dental, vision, life): [EXTRAS] Enrollment deadline: [DEADLINE] Requirements: 1. Build a side-by-side table of [PLANS] using only provided numbers. 2. Estimate yearly cost for each plan in three cases: low use, expected use from [USAGE], and a bad year that hits the out-of-pocket max. Show the math. 3. Mark which plans keep everything in [MUST KEEP]. If network info is missing, say what to check and where. 4. Explain any HSA or FSA option in plain words and note it only applies if the plan qualifies, which the employee must confirm. 5. List 8 questions to ask HR or the insurer before choosing. 6. Write a short checklist with dates working back from [DEADLINE]. 7. Do not recommend a final plan. End with the trade-offs in 3 lines. Deliverables: 1. Comparison table 2. Yearly cost scenarios 3. Questions for HR 4. Deadline checklist 5. Trade-off summary
How to use this prompt
- 1Copy the prompt using the button above.
- 2Open your AI tool (ChatGPT, Claude, Midjourney, etc.)
- 3Paste and customize any variables in the prompt.
- 4Generate your result.
Tip
Fill every placeholder before you run the prompt. Keep one clear goal per run, then refine with a follow-up if needed.
When to use this prompt
- •Good for first drafts in HR
- •Keep variables filled so the model has enough context
- •Review AI output before sending or publishing