peopleanalyst

Tools · Marketing

PR Plan

Describe an announcement — get a PR plan: narrative, angles, outlets, timeline.

How it works

Corpus-grounded (communications/media-relations via the marketing cluster). Finds the newsworthy narrative, develops story angles by outlet type, lists target outlets/beats, drafts spokesperson points, the assets to prepare, and a phased timeline — honest about newsworthiness, with the riskiest assumptions.

You bring

{ announcement, cluster? }

You get

{ announcement_summary, narrative, story_angles[]{angle, outlet_type}, target_outlets[], spokesperson_points[], assets_needed[], timeline[]{phase, activities[]}, riskiest_assumptions[], grounded_in, provenance }

Use it for

See it work

example output

Announcement: a 12-person labor-analytics startup releasing a free, openly-licensed dataset of 5 million anonymized job postings tagged to a skills taxonomy.

PR Plan — Open Skills Graph launch

Announcement: A 12-person labor-analytics startup is releasing a free, openly-licensed dataset of 5 million anonymized job postings, with skills tagged to a public taxonomy.

Narrative

The skills data that powers hiring and workforce planning is locked inside paid vendors. By opening a large, tagged dataset under a permissive license, the company makes labor-market research reproducible — and bets that becoming the open standard beats charging for the raw data.

Story angles

  • "The open-source moment for labor-market data" — outlet type: tech / trade.
  • "What 5 million postings reveal about the skills gap" — outlet type: national business / future-of-work vertical.
  • "Why a startup gave its data away" — outlet type: startup / founder podcasts.
  • "A reproducible benchmark for workforce researchers" — outlet type: academic / data-science press.

Target outlets

  • Future-of-work and HR-tech trade press · data-journalism desks at national business outlets · labor-economics newsletters · founder/strategy podcasts.

Spokesperson points

  • Why open — reproducibility and standard-setting, not altruism theater.
  • How anonymization and licensing were handled.
  • One or two non-obvious findings from the data, clearly labeled as illustrative until peer-checked.

Assets needed

  • Press release · a data-documentation page + sample notebook · two or three chart-ready findings · founder headshots + a dataset diagram · an embargoed researcher preview.

Timeline

  • Pre-announcement: brief three or four friendly reporters under embargo; line up two researcher quotes.
  • Announcement: release, blog post, and notebook go live the same morning; founder available for interviews.
  • Sustain: weekly "one chart from the data" posts; pitch follow-on analyses to verticals.

Riskiest assumptions

  • That the findings are genuinely newsworthy — the story is thin without a surprising stat, so strengthen with one.
  • That "we gave our data away" reads as bold, not as "the data wasn't that valuable."

Grounded in: media-relations / communications canon — newsworthiness, angle-to-outlet fit, embargo sequencing.

Run it now

Plan your PR

Turn an announcement into an earned-media plan: the newsworthy narrative, story angles by outlet type, target outlets, spokesperson points, assets needed, and a timeline.

Prefer code? Call it over the API or hand it to your AI agent via MCP — POST /api/bicycle/pr-plan · plan_pr. API & agent access →

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