The challenge

Kora’s merchant feedback lived across support tickets, app reviews, feature request forms, and sales conversations. The volume was valuable, but the signal was fragmented. Product teams struggled to distinguish recurring product friction from isolated requests, while GTM teams lacked a reliable way to reuse the language customers were already using.

Planning meetings often started with manual exports and competing anecdotes. The team needed a shared feedback layer that could show what merchants were asking for, how often themes appeared, and where each insight came from.

How Kora used Fawna

Kora connected its highest-volume feedback sources to Fawna and organized conversations around checkout setup, inventory sync, reporting, integrations, and merchant education.

The team introduced a simple weekly workflow:

1. Review the fastest-growing customer themes.
2. Open the original conversations behind each pattern.
3. Compare signals across support, sales, and reviews.
4. Share evidence-backed priorities with product and GTM leaders.

“Fawna replaced hours of manual feedback sorting with a clear view of what merchants were repeatedly asking for.”

What changed

Instead of debating individual requests, Kora could evaluate themes by frequency, customer context, and business relevance. Product managers gained clearer roadmap evidence, while marketing and sales used the same customer language to improve positioning and education.

What Kora achieved

• Merchant feedback grouped by theme, channel, and product area.
• Product and GTM teams working from one shared customer vocabulary.
• Roadmap discussions supported by source conversations instead of isolated anecdotes.
• Recurring merchant confusion identified earlier by support teams.
• Faster preparation for planning and launch messaging.

Fawna gave Kora a repeatable way to turn everyday merchant conversations into product direction the wider team could understand and trust.