Product feedback is scattered across your sales and customer success calls. Praiz pulls out the new feature requests, the friction points and the improvements customers are asking for, and sends you the whole thing every week.
Praiz lets us instantly understand the trends coming out of our customer conversations, without re-listening to everything.
One customer who follows up three times takes over the roadmap. Five quiet customers asking for the same thing go unnoticed. The feedback exists, it is just scattered across CSM notes, Slack threads and emails, with no volume or frequency attached.
So you prioritize on how loudly something was asked rather than how widely.
Most teams buy an AI tool and end up alone in front of an empty setup screen. At Praiz, we configure the AI agents ourselves, based on your objectives, your documentation and your calls. You can configure it all yourself if you prefer, but that is not the default.
Captures and structures all customer feedback expressed during a conversation, covering product, service quality, support, onboarding, and overall experience.
Extracts explicit product-related feedback expressed by users during conversations.
Identifies gaps in product knowledge expressed by customers during conversations, highlighting misunderstandings, lack of awareness, or incorrect assumptions about the product.
Generates a slide-ready list of the prospect’s key challenges mentioned during the call, structured in concise, factual wording and strictly based on the prospect’s own statements.
Generates a detailed and structured summary of a Quarterly Business Review meeting, capturing all key discussions, customer feedback, decisions, and next steps for Customer Success follow-up.
Analyzes and scores the customer’s expressed sentiment throughout a conversation, providing a structured and measurable view of the customer’s emotional state and perception.
A notetaker gives you the summary of one call. Praiz extracts typed fields that aggregate, which is how you learn that twelve accounts asked for the same thing. A notetaker tells you what one customer said, Praiz tells you what your customer base is asking for.
Against a list of themes you define. That is what makes requests countable and comparable period over period, rather than handing you free text.
No. Agents run on Sales and Customer Success conversations. Product receives the ranking by email or on Slack.
Agent outputs go out by email, to Slack or through a webhook. The webhook lets you route them into your own tools.
Yes. You create a field dedicated to that feature and follow how it moves month by month.
Yes, through the MCP server, from Claude, ChatGPT, Gemini or any compatible tool.
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