Skip to content
Gather, Organize and Harness feedback for Ideas

Feedback Management

Say goodbye to scattered spreadsheets and siloed inboxes. Our feedback repository acts as a single source of truth, bringing together customer feedback from every channel into one organized hub. Uncover the “why” behind customer feedback and transform raw data into actionable insights.

Our AI-powered engine automatically analyzes feedback, identifies trends, and highlights key themes, helping you understand customer sentiment and prioritize product improvements.

Gather feedback from stakeholders and clients

Unearth a goldmine of information directly from your target audience. Understand their needs, pain points, and desires to craft a product that delivers exceptional value and fosters long-term loyalty. Client feedback is the compass guiding your product towards success.

Capture invaluable insights from internal stakeholders – your product team, engineers, sales, and marketing – to ensure alignment and identify potential blind spots in your product strategy. Gather diverse perspectives to build a product that truly resonates with your business objectives and market demands.

Harness the Power of Penome AI Copilot to Elevate Your Feedback Management

Your tireless virtual assistant that scours Twitter for mentions of your product, competitors, and industry trends. It automatically analyzes and summarizes this valuable feedback, delivering actionable insights directly to your feedback management module. No more manual searches or missed opportunities – just a constant stream of real-world data to fuel your product development strategy.

The central hub within your product management software where all feedback is collected, organized, and analyzed. With Penome AI Copilot seamlessly integrated, this module becomes a dynamic powerhouse, providing a 360-degree view of customer sentiment and empowering you to make data-driven decisions that enhance your product and delight your users.

Generate Ideas from feedback using AI

Our AI-powered sentiment analysis engine goes beyond simple keyword identification. It dives deep into customer feedback, deciphering emotions and opinions to understand the “why” behind the “what.” This allows you to identify not just areas of improvement, but also the specific features and functionalities causing delight or frustration. Uncover hidden opportunities and prioritize product development efforts based on true customer sentiment, leading to more impactful improvements and increased customer satisfaction.

Sifting through mountains of feedback can be overwhelming. Our AI-powered topic clustering automatically groups similar feedback into relevant themes, transforming scattered data into organized insights. Quickly identify trending topics, recurring pain points, and emerging needs without manual tagging or sorting. This streamlined approach saves you valuable time and resources, enabling you to focus on generating innovative solutions based on real customer needs.

Read Our Blogs

This is where we share our “no holds barred” thoughts about product management and other related topics.
product roadmap and prioritization with penome - the GL(c) model

Product Strategy, Roadmap and Prioritization – The GL(c) Model

It doesn’t matter whether you are a product manager or not, if you have ever tried building a product, there are three keywords that you would have come
Read More

Dunning-Kruger Effect: A Blind Spot Every Product Manager Should Watch Out For …

In 2009, My team and I were working on a prototype assuming that one day TVs will be connected to the internet and
Read More

The IKEA Effect and its Friends : Nemeses of a Product Manager

In 2001, I was working on developing a software licensing system that managed distributed license keys for any software using server based floating licensing mechanism.
Read More

Want a hands-on experience?

Don’t wait, just sign up and try it for free. In a true product price discovery spririt, we are not yet charging for Penome subscription. Go ahead and use it for free. If you like it or have some feedback or suggestions, let us know.