---

name: outreach-growth-agent-runner
description: Use when the legal AI product team needs to orchestrate a multi-step growth experiment — combining content creation, outreach sequencing, press targeting, analytics, and feedback loops. Acts as the coordinator skill that chains together individual outreach skills into a coherent growth campaign. Triggers when a growth experiment or campaign run is requested, not just a single content or outreach task.
license: MIT
metadata:
id: outreach.growth-agent-runner
category: outreach
intent: ["outreach", "growth", "orchestration", "campaign", "experiment"]
related:
- outreach-backlink-pr-campaign
- outreach-blog-preview-renderer
- outreach-inbox-scan
- outreach-press-list-enriched
- outreach-userflow-analyzer
priority: P3
source: Louis — HAQQ Legal AI (github.com/sboghossian/mini-claude-for-legal)
version: "1.0"

Growth Agent Runner

Individual outreach skills (blog posts, press lists, backlink campaigns) are building blocks. The growth agent runner chains them into an end-to-end campaign that starts from a growth hypothesis, executes coordinated actions, and measures outcomes. This is the orchestration layer.

Purpose

Run a coherent growth experiment for a legal AI product, coordinating:

1. Hypothesis definition — what are we testing and what is success?
2. Asset creation — blog posts, landing pages, lead magnets
3. Outreach execution — press, social, partner, community
4. Inbox and response management — triage inbound leads and coverage
5. Analytics — did it work?

Inputs

Input	Why it matters	Default
Growth hypothesis	"Publishing a multi-jurisdiction non-compete guide will generate 50 backlinks and 200 signups"	Must be specified
Campaign timeframe	Week / month / quarter — determines scope	4-week sprint
Available resources	What can actually be executed (writing bandwidth, PR budget, tools)	Lean / founder-led
Target audience segment	Who are we trying to reach in this campaign?	MENA in-house GC
Success metrics	What does winning look like?	Signups, backlinks, press mentions

Campaign logic

Step 1 — Define the hypothesis

A growth experiment must be falsifiable:

"We believe that publishing a free MENA employment law guide will generate X qualified leads via SEO in Y weeks because MENA GCs search for this content and there is low competition."

Without a clear hypothesis, you cannot measure success or learn from failure.

Step 2 — Select the growth levers

For a legal AI product, the highest-leverage growth channels are:

Channel	Why it works	Skills to activate
SEO + content	Lawyers search for answers — be the answer	[[outreach-blog-preview-renderer]]
PR + backlinks	Domain authority + direct traffic from professional publications	[[outreach-backlink-pr-campaign]]
Community	Legal communities (bar associations, LinkedIn groups, Chambers)	Bespoke per community
Product virality	Users who share output or invite colleagues	[[outreach-userflow-analyzer]]
Email / direct outreach	Warm introductions to GCs and legal ops heads	[[outreach-inbox-scan]]

Choose 1–2 channels per sprint. Do not try to run all channels simultaneously with limited resources.

Step 3 — Create the assets

Trigger the relevant content skills:

• Blog post: [[outreach-blog-preview-renderer]]
• Press list: [[outreach-press-list-mena]] or [[outreach-press-list-europe]] depending on target
• Video assets: [[outreach-video-asset-library]]

Ensure each asset has a clear CTA (call to action) that drives to a measurable conversion event (signup, demo request, download).

Step 4 — Execute outreach

• Press pitches: sequence per [[outreach-backlink-pr-campaign]] — D0, D7, D14 follow-up
• Social: publish blog post with social copy; engage in comments
• Community: share in relevant legal communities with a value-first framing (not promotional)
• Direct: send personalised intro emails to 20–50 target GCs using [[outreach-inbox-scan]] triage for inbound responses

Step 5 — Monitor and triage

• Daily: check inbox for journalist responses, inbound leads, coverage alerts ([[outreach-inbox-scan]])
• Weekly: check analytics — traffic, signups, backlinks gained
• Respond to coverage within 24 hours; amplify press mentions on social

Step 6 — Measure and debrief

At the end of the sprint, produce a one-page growth debrief:

Campaign: [Name]
Hypothesis: [Statement]
Levers activated: [List]
Results:
  - Backlinks gained: [N] (target: [T])
  - Press mentions: [N]
  - Traffic to landing page: [N]
  - Signups / conversions: [N]
  - Cost: [£/$ or hours]
Verdict: ✅ Hypothesis confirmed / ⚠️ Partial / 🚫 Failed
Learnings: [What we know now that we didn't before]
Next sprint: [Adjusted hypothesis or new channel to test]

Quality bar

• Every growth action must map to a measurable outcome. "We sent some emails" is not a campaign result.
• Legal AI growth content must maintain the accuracy standard — a viral post with a legal error is worse than no post.
• Growth experiments should be run in 4-week sprints with a defined hypothesis, not open-ended "let's try things" initiatives.

What to avoid

• Running too many channels simultaneously — dilutes focus and makes attribution impossible
• Vanity metrics (social impressions, followers) without conversion tracking
• Growth content that sacrifices legal accuracy for shareability
• Outreach to journalists without a genuine news hook

Related skills

• [[outreach-backlink-pr-campaign]]
• [[outreach-blog-preview-renderer]]
• [[outreach-inbox-scan]]
• [[outreach-press-list-enriched]]
• [[outreach-userflow-analyzer]]
• [[outreach-video-asset-library]]