Build · Assess & Decide · Analysis & Finance
Disruptive-channel fit register
A structured channel-fit register that scores each candidate channel 0 to 3 on Christensen's four disruptive-channel criteria with a written rationale per channel, and returns, by rule, a fit verdict (fueled, neutral, or starved) per channel plus a recommended channel drawn only from the fueled ones.
You receive: A JSON object with a channels[] array, each channel scored 0 to 3 on the four named criteria with a rationale of at least 15 words, a total, and a rule-computed fit verdict, plus a recommended_channel field consistent with the verdicts.
Part of Distribution
Example
A sample of what this play produces. Your result is generated for your inputs.
- Recommended channel
- Direct content-led motion (SEO, developer docs, launch communities)
| Channel name | Margin pull upmarket | Motivation vs existing line | Aftersale capability fit | New value network fit | Rationale | Total | Verdict |
|---|---|---|---|---|---|---|---|
| Fractional operator and solo-agency partners | 3 | 3 | 2 | 3 | Fractional CMOs, CFOs, and solo agencies serving early-stage founders can resell STUD runs as productized retainers, which moves them up-market from hourly work to recurring outcome packages. STUD is fuel for their own climb: prepaid credit packs from $20 (500 credits, and purchased credits never expire) let one operator serve more clients at higher effective margin than manual deliverable work. They already own the founder relationship, so after-sale fit is decent though workspace onboarding still needs STUD-side docs. They sit in the same early-stage value network STUD targets (illustrative economics: blended CAC near $40 stays intact because the partner absorbs acquisition). | 11 | fueled |
| Direct content-led motion (SEO, developer docs, launch communities) | 2 | 3 | 3 | 2 | This is STUD selling STUD, so motivation is total: every prepaid credit pack, from the $20 pack to the $200 pack, is the whole line, not a distraction from a richer product. After-sale fit is strongest here because the workspace itself carries onboarding, and results landing in the buyer's workspace do the retention work. Margin pull up-market is moderate: content compounds but does not by itself lift STUD into larger accounts. The value network is the one STUD already lives in (solo founders and small product teams), with the illustrative $40 blended CAC as the working cost assumption. | 10 | fueled |
| Freelance marketplaces as a listing venue | 1 | 0 | 1 | 1 | A freelance marketplace earns its take rate on human hourly and project billings, so a $10 to $40 play (most plays are 500 credits, $20) that replaces a $200 gig shrinks their revenue per transaction rather than pulling them up-market. STUD names these marketplaces among its competitors, which means routing the product through them is the Pandesic trap in its purest form: the channel has structural energy to bury the listing, not to sell it. After-sale fit is poor because the buyer relationship, workspace facts, and compounding results all live outside the marketplace's model. | 3 | starved |
| General AI assistant plugin and app directories | 2 | 1 | 1 | 2 | Directories attached to general-purpose AI chat assistants reach exactly the buyers stuck at the blank prompt box, and a directory placement costs little, so there is some up-market pull from association with large platforms. Yet the platform's existing line is the assistant itself: STUD's catalog of ready-made plays competes with the platform's own ambition to be the whole workflow, so motivation is thin and could turn hostile. After-sale fit is weak because the directory hands off the user and keeps none of the workspace continuity that makes STUD's results compound across runs. | 6 | neutral |
Opens soon
STUD opens runs for everyone soon, on every play at once.
Scope of the check
What's verified: STUD verifies the structure and arithmetic of the register: it parses as a JSON object, contains at least your minimum number of candidate channels, each channel is an object with a unique non-empty channel_name, each of the 4 named criteria (margin_pull_upmarket, motivation_vs_existing_line, aftersale_capability_fit, new_value_network_fit) is scored as an integer 0 to 3, each channel carries a scoring rationale of at least 15 words, the stated total equals the recomputed sum of the 4 scores, and the stated verdict matches the recomputed rule: fueled at or above your fuel threshold, starved at a total of 3 or below, neutral in between, and any channel scoring 0 on motivation versus the existing line is forced to starved regardless of its total. The recommended_channel must name a channel whose recomputed verdict is fueled, or be empty or null when no channel is fueled. Submissions over 200,000 characters are rejected, and parameters outside range (minimum channels 1 to 50, fuel threshold 4 to 12) are rejected. STUD does NOT verify that the scores reflect the channel's real economics, that the rationales are accurate or evidence-backed, or that the recommended channel will succeed in market: your product, target customer, candidate channel list, and current channel context are context for the operator, not machine-checked criteria.
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