Traction Channel Research

SkillDev tools

Research and shortlist startup traction channels before running Bullseye tests. Use when comparing acquisition channels, studying how similar companies grew, finding underused distribution strategies, or preparing the outer ring for a Traction-style growth process.

Use Traction Channel Research in Claude, ChatGPT or Ahel Desktop

Free. Sign in, add Traction Channel Research and connect your AI. About a minute.

Also: Claude Code · Cursor · Codex

Then ask your AI: use the Traction Channel Research skill

Details

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add Ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Traction Channel ResearchStart free

What this skill tells your AI

The instructions your AI receives, as published by hashgraph-online/awesome-codex-plugins in plugins/LVTD-LLC/skills/skills/traction-channel-research/SKILL.md and read by Ahel’s review.

Use this skill before traction-bullseye when the agent needs evidence about which channels might work. The job is to replace founder guesses with grounded channel ideas.

Source Traceability

Primary source: Traction, chapters 1, 3, and 5. Authoring notes: converted lines 238-393, 555-674, and 787-902. The canonical channel list also appears in ../traction-bullseye/references/source-map.md.

Research Workflow

  1. Define the product, target customer, business model, ACV or price point, and current growth stage.
  2. List all 19 channels, even if some look unlikely: targeting blogs, publicity, unconventional PR, search engine marketing, social and display ads, offline ads, search engine optimization, content marketing, email marketing, viral marketing, engineering as marketing, business development, sales, affiliate programs, existing platforms, trade shows, offline events, speaking engagements, and community building.
  3. For each channel, research comparable companies, adjacent markets, failed examples, and underused tactics.
  4. Separate channel from strategy. "SEO" is a channel; "comparison pages for high-intent alternatives" is a strategy.
  5. Estimate reach, cost, speed, confidence, and customer fit.
  6. Shortlist the top three to five strategies for Bullseye middle-ring tests.

Evidence To Look For

  • Founder interviews, teardown posts, podcasts, and launch retrospectives.
  • Competitor traffic sources, ad libraries, backlink patterns, and content footprints.
  • Marketplaces, communities, events, newsletters, podcasts, and niche platforms where the customer already gathers.
  • Signs of saturation: crowded ad auctions, copied content, high affiliate competition, or low response rates.
  • Signs of underuse: unfashionable offline channels, narrow communities, ignored partners, or new platforms.

Output Format

# Traction Channel Research

## Context
- Product:
- Customer:
- Stage:
- Traction goal:

## Channel Scan
| Channel | Strategy Idea | Evidence | Reach | Cost | Speed | Fit | Confidence |
|---------|---------------|----------|-------|------|-------|-----|------------|

## Shortlist
1. [Channel + strategy] - [why test this]
2. [Channel + strategy] - [why test this]
3. [Channel + strategy] - [why test this]
4. [Optional channel + strategy] - [why test this]
5. [Optional channel + strategy] - [why test this]

## Bias Check
- Channels the team may be overvaluing:
- Channels the team may be ignoring:

## Recommended Next Tests
[Hand off to traction-test-planner.]

Quality Bar

  • Prefer specific strategies over broad channel labels.
  • Include at least one uncomfortable or underused channel.
  • Distinguish evidence from guesses.
  • Flag channels that cannot plausibly move the user's current traction goal.

Signals

GitHub stars
1k
Forks
316
Last commit
Oct 2026
Advanced
Item type
skill
Key
traction-channel-research
Source
github.com/hashgraph-online/awesome-codex-plugins