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Prompt Details

Model
(claude-5-sonnet)
Token size
481
Example input
[FEATURE]: A mobile app for our web-based invoicing tool [DEMAND]: Roughly 8 of 200 paying customers asked in the last 6 months, mostly in support chats [PRODUCT]: A responsive web app for freelancers to send invoices and track payments. Most users log in 2-3 times a month, usually from a laptop. [COST]: About 3 months of our only developer, plus app store maintenance
Example output
INPUT FEATURE: A mobile app for our web-based invoicing tool DEMAND: Roughly 8 of 200 paying customers asked in the last 6 months, mostly in support chats PRODUCT: A responsive web app for freelancers to send invoices and track payments. Most users log in 2-3 times a month, usually from a laptop. COST: About 3 months of our only developer, plus app store maintenance OUTPUT (Claude Sonnet, unedited) ## Verdict **NOT NOW** — 4% of customers mentioning something in support chats, with no purchase or churn signal behind it, isn't enough evidence to justify three months of your only developer's time. ## What problem this actually solves The underlying job is likely "let me check invoice status or payments when I'm not at my laptop" (assumed — the actual job wasn't stated, only the requested solution). A cheaper solution to the same job is a better mobile-optimized web experience (you already have a responsive web app) plus optional push notifications, which needs no app store presence at all. ## Evidence check | Signal | What I have | Strength | |---|---|---| | Who asked | 8 of 200 paying customers | Weak | | How often | Over 6 months, via support chats (not a dedicated feature request channel) | Weak | | What they do today instead | Log in 2-3x/month, usually from a laptop | Weak (suggests low urgency) | | Paid or churned over it | Not mentioned | Missing | | Usage data support | No mobile-browser session data given | Missing | ## The cheapest test Over 5 working days: email all 200 customers (and show a banner in-app) linking to a "Invoicing app for your phone — coming soon" landing page with a "Notify me" button (a fake door). In parallel, pull existing server logs for the % of sessions already coming from mobile browsers over the same period. - Measure: click/signup rate on the fake door, and current mobile-web session share. - Go if: over 15% of customers click "Notify me," OR mobile-web sessions already exceed ~20% of total. - Stop if: below that — the 8 vocal customers aren't representative. ## If you build it Smallest version: a installable mobile-web (PWA) experience with push notifications for "payment received" and "invoice viewed," not a native app. Leave out: invoice creation/editing on mobile, offline mode, and any native app-store listing beyond the PWA install prompt. Metric at 30 days: weekly active mobile users as a % of total weekly active users — if it's under 5%, the demand wasn't real. ## The cost of yes This is 3 months of your only engineer — effectively your entire near-term roadmap capacity (assumed: no other engineers to cover it). It displaces whatever else was next in line, which for a payments tool is plausibly reliability, integrations, or reporting work with broader reach. Permanent maintenance: OS version churn, app store review cycles, and a second codebase to keep in sync with the web app, indefinitely — carried by the same one developer with no backup. ## Kill criteria - If the 5-day fake-door test (running by 2026-09-19) gets under 10% click-through and mobile-web sessions stay under 15% of total, do not build — revisit only if that pattern changes. - If built anyway, and by 2026-11-15 (30 days post-launch) weekly mobile active users are under 5% of total active users, sunset the app rather than keep maintaining it. - If the single developer is reassigned or leaves before app store approval is complete, halt the project — do not let it become permanent half-finished maintenance debt.
Claude

Feature Kill Or Build Test

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CLAUDE-5-SONNET
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Before you spend a month building a feature someone asked for, run it through this. Claude separates the real job from the solution the requester proposed, grades your evidence signal by signal (who asked, what they do instead, whether anyone paid or churned over it), designs a 5-day test that produces the same information without building anything, names the smallest version worth shipping, counts what saying yes displaces, and sets dated kill criteria. Verdict: BUILD, TEST FIRST or NOT NOW.
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