Rank · Assess & Decide · Analysis & Finance

Rank the 19 traction channels into Bullseye A/B/C rings

I get all 19 traction channels sorted into Bullseye rings, each with a written rationale, and a disciplined inner ring, so I concentrate my first traction experiments instead of chasing every channel at once.

You receive: A JSON object { rankings: [{ channel, ring, why }] } placing each of the 19 traction channels in ring A, B, or C, with a rationale of at least 8 words per channel.

Part of Distribution

What's verified: STUD verifies that the deliverable is a JSON document of at most 100,000 characters, that all 19 canonical traction channels appear exactly once, that every channel is placed in ring A, B, or C, that the inner (A) ring holds between 1 and your maximum (default 3; a maximum set outside 1 to 19 falls back to 3), and that every channel carries a written rationale of at least 8 words. STUD does NOT verify that the rationales are accurate or well reasoned, that the ranking actually fits your product, audience, or traction goal, or that the operator used the context you provide. Your traction goal, product description, target customer, and current channels are operator context only; the maximum inner ring size is the only intake field that drives the verdict.