Connecting Merchant Feedback to Product and GTM
How an e-commerce platform used Fawna to turn merchant conversations into clearer product priorities and GTM messaging.
2.4
x
More Feedback Themes
35
%
Faster Planning Prep
19
K
Conversations Analyzed
Fawna replaced hours of manual feedback sorting with a clear view of what merchants were repeatedly asking for. Product, support, and GTM now enter planning conversations with the same evidence.

Maya Chen
VP of Product at Kora
Connecting Merchant Feedback to Product and GTM
The Challenge
Kora serves thousands of merchants, and each one has a perspective worth hearing. The challenge for Kora was not a lack of feedback. It was the opposite. Merchant voices came from everywhere.
Feedback came in across:
Support tickets
Public reviews
Feature request forms
Sales conversations
Every channel captured something real about how merchants experienced the product. Support tickets exposed operational friction. Reviews surfaced sentiment that might never reach Kora directly. Feature requests spelled out hoped-for capabilities. Sales conversations carried competitive context and buying-stage expectations. Each source was valuable on its own.
The problem was that signal stayed fragmented. Feedback lived in the tool where it arrived, reviewed by the team that owned that channel, and rarely assembled into a shared picture. A checkout friction reported in support might never be connected to the same complaint surfacing in reviews. A feature request that represented one merchant’s wishlist might be mistaken for a recurring theme because there was no easy way to check it against the broader conversation.
Without that connection, it was hard to distinguish recurring friction from isolated requests. Kora’s teams knew there were real, repeated pain points hiding inside the volume. They just could not see them clearly enough to prioritize with confidence.
How Kora Used Fawna
Kora connected their highest-volume feedback sources into Fawna and let the conversations organize themselves around the areas that mattered to merchants.
Areas of focus:
Checkout
Inventory
Reporting
Integrations
Education
Once conversations were grouped this way, Kora’s teams could review merchant feedback by theme and immediately understand both what was being said and where it was concentrated. A cluster of checkout complaints could be weighed against a quieter set of reporting suggestions. An integration thread growing week over week could be compared against a stable area of the product. Themes carried their context with them, so the team always knew which channels contributed and how often.
Kora built a weekly workflow around Fawna that turned scattered feedback into a reliable planning input.
Weekly workflow:
Review growing themes across all connected sources
Open the conversations behind each theme to read them in context
Compare theme behavior across channels to spot recurring friction
Share evidence-backed priorities with product, marketing, and sales
That rhythm gave Kora a dependable place to make sense of merchant feedback rather than reacting to whichever channel was loudest that week.
What Changed
The biggest shift was in how Kora evaluated feedback. Instead of treating every request as equally weighted, the team could evaluate themes by frequency, context, and relevance. A request that appeared once in a feature form looked very different from a theme that recurred across support and reviews for months. That context let Kora separate signal from noise and plan around what merchants actually experienced.
Product managers got clearer roadmap evidence. When they advocated for a change, they could point to the conversations behind it, the channels where it surfaced, and how often it appeared. Roadmap discussions became grounded in shared evidence rather than competing anecdotes. Prioritization debates that used to circle back to whose list was more complete could now move forward with a common picture.
Marketing and sales began to reuse the customer language inside those conversations. Campaigns referenced real merchant phrasing. Sales conversations connected product decisions to the feedback that had shaped them. The same evidence base that informed product also strengthened how Kora talked about the product externally.
What Kora Achieved
Merchant feedback grouped by theme, channel, and product area in one place
A shared vocabulary across product, marketing, sales, and support
Roadmap decisions supported by the source conversations behind each theme
Recurring sources of merchant confusion identified earlier, before they escalated
Faster, more confident planning preparation across teams
“Fawna gave us one place where merchant feedback from every channel finally makes sense together. We can tell the difference between a one-off request and something merchants are running into everywhere. Our roadmap conversations are grounded in real evidence, and the whole company is reading from the same page.”



