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Configurable CSAT frequency

Problem Featurebase currently offers two CSAT settings: send after every conversation, or turn CSAT off entirely. No option sits between these two extremes. Customers with high contact volume get a CSAT request after each chat or email, even when they reach out multiple times in one day. Several of our customers flagged this as too many messages from Featurebase. Request Add a setting for minimum time between CSAT requests per customer, similar to what HubSpot offers. Example: set the interval to 30 days. A customer who contacts us 50 times within those 30 days gets one CSAT request, not 50. Once 30 days pass since their last CSAT, their next interaction triggers a new request. Benefit This caps CSAT volume at a predictable maximum. A 30 day interval means 12 requests per year at most, instead of a volume that scales with contact frequency. CSAT data also improves, since results reflect sentiment over time rather than getting skewed by repeat contacts in a short window. Suggested setup A numeric field for minimum days between CSAT requests, set per workspace or per channel.

Bryan ten Kate about 21 hours ago

Brand-Specific / Conditional Conversation Data Attributes (CvDAs)

Brand-Specific / Conditional Conversation Data Attributes (CvDAs) Context & Use Case: We have multiple regional office workspaces, and each office manages support for multiple distinct brands/products within a single workspace. Because each brand has unique customer questions and support workflows, we need distinct conversation attributes for each product. Problem: Currently, Conversation Data Attributes are applied globally across the entire workspace. As a result, agents see all attribute dropdowns (e.g., 3 separate product dropdowns) on every conversation, even though only 1 is relevant to the ticket's specific brand. Requested Solution: Ability to scope Conversation Data Attributes to specific brands, or Enable conditional visibility so that selecting a specific Brand/Product dynamically displays only the attributes relevant to that brand in the conversation details panel.

Bryan ten Kate 2 days ago