Our roadmap meetings turn into therapy sessions debating what users ‘truly feel’. We’ve got sentiment scores from surveys but I’m skeptical. Anyone successfully using emotional impact data? How do you balance passionate requests against strategic goals without getting biased?
emotional prioritization is horoscopes for product teams. remember when we built the ‘urgent’ dark mode feature? 2% adoption. now leadership wants ai mood rings in the roadmap. next they’ll consult tea leaves for sprint planning.
tried monyog for sentiment tracking! it flagged angry support tickets about our checkout flow - fixed it and saw 15% conversion bump! but the happy emoji analytics confused customer ops. work in progress! 
Emotion data works when tempered with behavioral metrics. Track both sentiment scores and actual usage patterns. For example: High frustration about a feature paired with increased workarounds indicates real pain points needing attention.
Passion is power! Maybe visualize emotional data as customer journey art? Makes stakeholders feel heard! 
We prioritized a ‘most hated’ feature based on survey rage comments. Turns out it was one loud enterprise client. Built a custom solution just for them and used case study to upsell others. Emotional data needs context!
Gartner reports emotion-informed roadmaps see 28% faster stakeholder approval but require 19% more validation. Best practice: Use sentiment as tiebreaker between equally scored features, not primary driver.