How i integrated Ai into product management dashboard for faster Quality PRD generations.
Overview
Pulse is a feedback intelligence platform that helps Product Managers uncover patterns from customer feedback collected across support tickets, call transcripts, CRMs, and other sources. For this design challenge, I was asked to rethink the existing Features page and transform it into a central workspace where PMs could understand, evaluate, and act on feature-related information. The challenge wasn't simply adding more functionality.
The real question was: How might we help PMs make better decisions when information is scattered across multiple sources?
A week time
Understanding the Problem
The existing Features page provided only a limited view of a feature. While information existed elsewhere in the platform, PMs still needed to piece together context from multiple places before making decisions. At the same time, the challenge introduced several additional information sources:
Customer insights
Discussions and team conversations
Notifications and updates
AI-generated documentation
Experiments and surveys Notes
collaboration spaces
My initial observation was that simply adding more tabs would not solve the problem. In fact, introducing additional content risked creating an even more overwhelming experience. The challenge was not a lack of information. The challenge was helping PMs identify what mattered.
Defining the Core Job To Be Done
As I explored the problem space, I framed the PM's primary job as:
When I'm evaluating a feature, I want information to be organized and prioritized so I can focus on what actually impacts my decision.
This became the foundation for every design decision that followed. Rather than designing a page that displayed everything, I wanted to create a workspace that helped PMs quickly move from information to action.
Design Principle #1: Prioritization Over Information Density
Product Managers often work under significant time pressure. When opening a feature page, they are rarely looking to consume every available piece of information.
More often, they are trying to answer a few critical questions:
Why is this feature important?
What evidence supports it?
Which customers are affected?
What should happen next?
To support these questions, I designed the page around prioritization over information volume. The most important signals appear first, while supporting information remains accessible when deeper investigation is needed.
This approach reduces noise and allows users to focus their attention where it creates the most value.
Design Principle #2: Designing for Scannability
A recurring challenge in information-heavy products is cognitive overload. If users are forced to read large amounts of content before understanding what is happening, decision-making slows down significantly. To address this, I focused heavily on scannability.
Information is structured so that users can quickly understand:
1. Current feature status
Key insights
Areas requiring attention
Recent activity
The goal was to create an experience where users could understand the state of a feature within seconds rather than minutes.
Design Principle #3: Reducing Visual Noise
Because the page combines multiple sources of information, visual clutter quickly became a concern.
To prevent unrelated information from competing for attention, I used strong visual hierarchy, content grouping, and generous spacing throughout the experience.
This creates clear separation between different types of information and allows the most important insights to naturally stand out.
Instead of asking users to search for what matters, the interface guides their attention toward it.
Design Principle #4: Guiding Users Through Complexity
One risk with feature management tools is attempting to expose every piece of information on a single screen. While comprehensive, this often makes interfaces harder to use.
I chose a progressive disclosure approach.
The page begins with a high-level overview containing the most critical information required for decision-making.
From there, users can explore supporting details, discussions, experiments, notifications, and documentation as needed.
This allows PMs to stay focused on the bigger picture while still having access to deeper context when required.
Outcome
The final concept transforms the Features page from a passive information view into an active decision-making workspace.
By focusing on prioritization, scannability, visual hierarchy, and guided exploration, the design helps Product Managers:
Understand feature health faster
Identify important signals quickly
Reduce cognitive load
Move from insight to action more efficiently
Most importantly, it supports the core goal behind the challenge: Helping Product Managers spend less time searching for information and more time making informed decisions.