Design a Feature to Increase Data Quality

To increase data quality without burdening sales reps, I would design a 'Smart Completion' feature that ties data accuracy to immediate workflow efficiency. First, I'd analyze our CRM usage logs to identify which incomplete fields correlate most strongly with stalled deals, such as 'Competitor Name' or 'Budget Size'. Instead of forcing mandatory fields upfront, I'd implement a dynamic validation layer. When a rep enters a prospect name, the system could instantly suggest competitor data based on industry trends, rewarding the rep by auto-filling 80% of the record. Second, I'd introduce a 'Data Health Score' visible on their dashboard. As they complete high-impact fields, their score rises, unlocking features like priority access to marketing leads or automated executive summaries. This gamification leverages intrinsic motivation. Finally, we'd measure success by tracking the delta in 'Lead-to-Opportunity' conversion rates and the percentage of records with zero null values in critical fields over three months. This approach respects the rep's time while demonstrating that accurate data directly accelerates their own sales cycle, aligning with Salesforce's core value of customer success.