Jain philosophy developed a doctrine called anekāntavāda — the principle that any complex thing is simultaneously true in multiple, incompatible ways depending on your standpoint — not as a relativist shrug, but as a rigorous method for avoiding the arrogance of partial sight. The Jain logicians applied this to metaphysics; it maps with uncanny precision onto product management's deepest trap. A feature request is simultaneously a symptom of a broken workflow, a signal of user sophistication, evidence of a positioning failure, and a distraction from something more important — all at once. Most PMs pick one frame and execute. What Jain epistemology insists is that the error isn't choosing the wrong frame; it's believing any single frame captures the whole. Combined with what psychologist Paul Meehl demonstrated in his actuarial studies — that trained experts consistently over-weigh the one category they know best — this becomes a structural warning: the mental model you're most confident in is precisely the one most likely to make your product narrow. The practice Jain thinkers recommended was to hold opposing descriptions as simultaneously valid before resolving them into action, not as paralysis but as a brief discipline of compound vision. Your next prioritization conversation isn't asking which description of a user problem is correct. It's asking how many valid descriptions you haven't voiced yet.

Think of a product decision you made confidently in the last month. How many structurally different explanations for the underlying user problem did you seriously consider before acting — and what made you stop adding more?

Drawing from Jain Epistemology / Anekāntavāda — Mahāvīra / Jain logical tradition (Tattvārtha Sūtra, c. 1st–5th century CE); Paul Meehl (Clinical versus Statistical Prediction, 1954)