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Research and shortlist startup traction channels before running Bullseye tests.
Passed 21 of 22 test cases with the skill, and 4 of 22 without it.
and 21 more in the full report
17 fixed4 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 17 test cases the skill fixed. Same model, same prompt, with and without the skill.
We are building a B2B SaaS platform for automated invoice processing targeting mid-sized accounting firms ($15k ACV, post-seed stage, aiming for our first 50 paying logos). We need to figure out distribution options before running growth experiments. Please deliver a channel research summary containing: 1. A Context section summarizing our product details, target user profile, stage, and primary traction goal. 2. A full Channel Scan matrix covering channel options alongside concrete strategy ideas, supporting evidence, and scores for reach, cost, speed, fit, and confidence. 3. A Shortlist of 3 to 5 candidate strategies with rationales for why they should be tested. 4. A Bias Check identifying channels we might be overvaluing or mistakenly ignoring. 5. A Recommended Next Tests section to guide our upcoming experiment planning.
| Checked | Without skill | With skill |
|---|---|---|
| The response lists all 19 canonical Traction channels in the scan section. | Missed | Passed |
| The response provides specific strategy ideas for each channel rather than repeating bare channel names. | Passed | Passed |
| The shortlist contains between 3 and 5 strategy options. | Passed | Passed |
The instructions your model reads when the skill loads.
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.
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.
test cases passed, vs 4 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.