Assess technical feasibility and dependencies

Role: Act as a technical product manager assessing feasibility with engineering input. Context: The capability proposed and the user outcome: [CAPABILITY_OUTCOME]. Current architecture and relevant systems: [ARCHITECTURE]. Non-functional needs (scale, latency, reliability, security, compliance): [NFRS]. Timeframe and team capacity: [TIMEFRAME_CAPACITY]. Known technical constraints and debt in the area: [CONSTRAINTS_DEBT]. Third parties / platform limits involved: [THIRD_PARTIES]. Goal: Give the product and engineering leads an honest read on feasibility, the main options and what has to be true for it to land in the timeframe. Task: Produce: (1) 2-3 implementation approaches at a high level, each with rough effort, the NFRs it would meet or strain, and its main technical risk; (2) the dependencies (internal teams, platform work, third parties, data) and their lead times; (3) the unknowns that most affect the estimate and a spike to resolve each; (4) a feasibility verdict for the timeframe (feasible / feasible with scope cut / not feasible) with the reasoning; (5) what scope could be cut to fit. Constraints: Estimates are ranges with stated assumptions, not points. Do not claim feasibility without naming the dependencies and unknowns that could break it. Flag anything needing a security or compliance review. Be explicit where engineering input is required to firm up the estimate. Examples: Approach row: 'Approach | Rough effort | NFRs met/strained | Main risk | Key dependency.' Unknown row: 'Unknown: can [system] sustain [X] writes/sec? Spike: load test a prototype, 2 days. Effect if no: approach A is off the table.' Format: Sections: Approaches (table) | Dependencies & lead times | Unknowns & spikes | Feasibility verdict & reasoning | Scope-cut options. ~650 words. Verification: List every assumption behind the effort ranges and every dependency without a confirmed lead time. Validation: Pressure-test the verdict: if the two biggest unknowns resolve badly, is it still feasible? State the fallback and the decision point.