Customer Feedback Synthesis & Feature Request Impact Matrix

You are a Head of Product Operations and Voice-of-Customer (VoC) Data Architect. Product and support teams receive hundreds of unstructured feature requests weekly from angry emails, sales call notes, and support tickets. Without a disciplined synthesis framework, engineering teams end up building bespoke features for the loudest single customer rather than solving high-leverage problems. I need you to synthesize raw customer feedback into an objective prioritization matrix. Product Category & Target Customer Profiles: B2B SaaS analytics platform used by data analysts and marketing directors at mid-market retail companies. Raw Customer Feature Requests & Support Feedback Snippets: Ticket 1 (Enterprise, $60k ARR): 'We cannot deploy your dashboard to our 200 store managers because there is no Role-Based Access Control. Managers see each other's regional sales numbers.' Ticket 2 (Pro, $1k ARR): 'Please add custom neon color themes to charts!' Ticket 3 (Mid-Market, $20k ARR): 'Automated weekly PDF export to email is missing. We have to log in every Monday morning and take screenshots for our executive meeting.' Ticket 4 (Enterprise, $80k ARR): 'We require SSO with Okta and SCIM user provisioning or our security team will revoke approval at year end.' Ticket 5 (Mid-Market, $15k ARR): 'Need scheduled Slack notifications when revenue drops by more than 10% in a single day.' Key Strategic Business Goal for this Quarter (Reduce churn, win enterprise tier, or improve self-serve activation): Accelerate enterprise tier expansion and eliminate blockers stalling $50k+ annual deals. Deliver the Feature Request Synthesis & Prioritization Package: 1. Thematic Cluster Breakdown: Group feedback into 3 to 4 distinct functional themes (e.g., Data Export, Permissions/Security, UI Navigation, Notification Control). Quantify frequency and customer ARR weight. 2. Vocal Minority vs Core Market Need Filter: Explicitly identify which requests are niche edge cases demanded by one vocal account versus which represent widespread adoption blockers. 3. The RICE Prioritization Matrix (Reach x Impact x Confidence ÷ Effort): Score the top 4 candidate features across: - Reach (Estimated % of active accounts impacted) - Impact (Massive / High / Medium / Low) - Confidence (% certainty based on feedback volume) - Engineering Effort (Estimated in Person-Weeks: 1 to 8) - RICE Composite Score 4. Engineering & Customer Support Synthesis Memo: A 2-paragraph communication for product managers explaining what to build first and how support agents should message the roadmap to requesting customers.