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When product managers seek user insights, they typically rely on familiar methods like interviews, surveys, and usability tests. However, there is a wealth of customer insights from sales calls that often goes unnoticed and underutilized.
At Riley, we’ve talked to countless product managers who struggled to incorporate sales data into their decision-making. Sales teams engage with hundreds of prospects every month, uncovering real pain points and objections. But this rich qualitative data often remains locked in call transcripts, never making it to live product discussions.
That’s why we built our Gong integration—to automatically extract insights from thousands of sales call data, empowering product teams to quickly identify trends and turn them into action. In combination with our Slack integration, these insights move directly from product dashboards to everyday team discussions.
Step 1: Turn on the Gong and Slack integrations in Riley.
Step 2: Create a new project in Riley and select relevant keywords from sales calls to focus your analysis on key customer themes.
Step 3: Found a critical insight? Share it directly with your team…
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Imagine a product manager who wants to understand why customers are abandoning checkouts. Using Riley, they select keywords like "implementation complexity" and "user setup". Riley's AI scans customer reviews, implementation experiences, and sales call data to uncover a critical trend: enterprises struggle with generic, time-consuming onboarding processes that fail to address unique organizational needs.
With one click, they share the insight directly in Slack, posting it to their #sales-product-collab channel. Within minutes, sales and product teams are engaged in a data-backed discussion. A sales rep confirms recurring friction in product configuration during customer interactions. A product designer proposes developing a more adaptive, customizable onboarding workflow to accelerate time-to-value.
What once took hours—manually analyzing feedback, coordinating cross-team insights, and identifying improvement opportunities—is now one fully connected, automated process. Suddenly, a recurring sales call frustration becomes a product innovation, improving onboarding and retention. Your next big idea might already be in a conversation—are you listening?
Product and sales teams need to work from the same data to build what truly matters to their customers. With Riley’s Gong and Slack integrations, insights move quickly from discovery to action. Riley’s AI connects sales call insights with product research, ensuring every decision is grounded in real customer conversations from the frontlines.
Lavender is Riley AI's product designer. Prior to joining Riley AI, she was a design consultant advising product marketing and design strategies for various startups across industries in the Bay Area. She is passionate about creating unique user-driven experiences personalized for every audience and accessible to every community.
Lavender completed her Bachelor degree at Stanford University.