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65% of adults aged 70+ take 3 or more medications simultaneously, averaging 5.2 drugs. Dosing instructions vary — 'after meals,' 'before bed,' 'on an empty stomach' — leading to frequent missed or mistimed doses. When adult children in their 40s-50s try to remotely check on their parents' medication compliance, calling to ask 'Did you take your medicine today?' only yields a perfunctory 'Yes, I did.' There is no way to verify actual adherence.
Register the parent's prescription medications on the web (via OCR from medication packets or manual entry), and the system auto-generates a dosing timetable for each drug. Parents simply tap a 'Dose Taken' button, and children can check today's medication status in real time on a separate screen. If a dose is missed past a set time, children receive an alert. Drug interaction warnings are also displayed.
| N Novelty | 1-5 | How uncommon the service is in market context. |
| U Urgency | 1-5 | How urgently users need this problem solved now. |
| M Market | 1-5 | Market size and growth potential from proxy indicators. |
| R Realizability | 1-5 | Buildability for a small team with realistic constraints. |
| V Validation | 1-5 | Validation signal quality from competition and demand data. |
| Tech Complexity | / 40 | Difficulty of core implementation stack. |
| Data Availability | / 25 | Practical availability and cost of required data. |
| MVP Timeline | / 20 | Expected time to ship a usable MVP. |
| API Bonus | / 15 | Bonus for viable public API leverage. |
| Competition | / 20 | Signal quality from competitor landscape. |
| Market Demand | / 20 | Demand proxies from search and mention patterns. |
| Timing | / 20 | Fit with current shifts in tech, behavior, and regulation. |
| Revenue Signals | / 15 | Reference evidence for monetization viability. |
| Pick-Axe Fit | / 15 | How well the concept serves participants in a trend. |
| Solo Buildability | / 10 | Practicality for lean-team implementation. |