Why You Need a Prioritization Framework
Without a framework, the loudest voice wins. Maybe it's the user who emails you daily, or the competitor feature your co-founder saw on Twitter. Frameworks replace opinion with data, and FeaturePulse provides the data — MRR tracking, engagement scores, and vote counts — to feed into whichever framework you choose.
RICE Scoring
RICE stands for Reach (how many users it affects), Impact (how much it moves the needle), Confidence (how sure you are), and Effort (engineering cost). Multiply Reach x Impact x Confidence, then divide by Effort. FeaturePulse vote counts and power user data feed directly into the Reach and Impact scores.
MoSCoW Classification
MoSCoW is simpler: classify every feature as Must-have, Should-have, Could-have, or Won't-have. This works well for release planning when you have a fixed timeline. Features that reduce churn among paying users are almost always Must-haves.
Revenue-Weighted Prioritization
For subscription apps, the simplest and most effective approach is to sort features by the total MRR behind each request. FeaturePulse calculates this automatically when you connect MRR tracking. A feature requested by users worth $4,500/month in combined MRR gets built before one worth $200/month — regardless of vote count.
Read more about practical revenue-weighted methods in our blog post on MRR-weighted feature prioritization.
Choosing the Right Framework
Early-stage apps with few paying users should start with RICE or MoSCoW. Once you have meaningful subscription revenue, switch to revenue-weighted prioritization. Kano is useful for mature products exploring delight features. Whichever you pick, the raw input comes from your feature voting board.