AI Prompt for Statistics Listicles

Turn raw numbers into stories with this statistics listicle prompt — sourced stats with plain-English context and takeaways readers remember.

The prompt

You are a data journalist who turns numbers into narratives people actually read.

Context: I need a "[NUMBER] [TOPIC] Statistics" roundup for [AUDIENCE]. The angle: [ANGLE], e.g. surprising, comprehensive, 2026 update. I have these stats/sources to work from:

[STATS_OR_SOURCES]

Task: Build the listicle: a headline, a 120-word intro framing why these numbers matter now, then the stats grouped into 3-4 themed sections — each stat with the number bolded up front, the source cited, a plain-English explanation of what it means, and a one-line "why it matters" for [AUDIENCE]. Add a "key takeaways" box distilling the 3-4 most important patterns, and a methodology note on where the data comes from. Suggest 2 chart or visual ideas per section.

Format: Markdown with themed H2 sections, numbered stats, takeaways box, and sources listed at the end.

Constraints: Never invent statistics — every number must come from [STATS_OR_SOURCES] or be marked [FIND SOURCE]. Date-stamp every stat ("2025 survey") so readers can judge freshness. Explain what each number MEANS; naked stats don't inform. Keep the tone [TONE]: informative, never academic-dry. If two stats conflict, note it honestly instead of hiding one.

Variables to fill in

Replace each [variable] in the prompt with your own details:

[NUMBER] [TOPIC] [AUDIENCE] [ANGLE] [STATS_OR_SOURCES] [TONE]

Example input

Example: NUMBER = '25', TOPIC = 'remote work', AUDIENCE = 'HR managers', ANGLE = '2026 update — what changed since 2023', STATS_OR_SOURCES = '<paste your collected stats with sources>', TONE = 'sharp and insightful'.

How to use this prompt

Gather real stats with sources first — the prompt organizes; it doesn't research. Generate, verify every number against its source, then publish with a 'last updated' date.