Feature prioritization tool to understand which features matter most and why
Built exclusively for Product Managers. All the tools are available in one single platform. No need to switch between different tools and documents
Gokul Prabhu
Understand the root cause
With User Research, talk to customers to understand the "Why" behind their request.
See trends and insights
With all incoming user requests automated with insights and analytics, see a holistic pattern of your users' most requested features and biggest pain points inside a single product feature prioritization tool.
Groom the requests
With built-in grooming, have clarity on your requests, prioritize better and convert requests into actionable tickets so your dev and design teams can take them forward.
Build a truly agile process by mapping these requests to your product goals and adding them to the live roadmap.
Automate intelligently
With built-in intelligence, you can save time by automating requests based on customers, source, tags and NLP.
Learn about other Zeda.io products
Everything a Product Manager needs, now in one place
Zeda.io is the smarter, simpler, and more efficient way to plan and execute your product management with your stakeholders
FAQs
How can feature prioritization tools help collect valid and actionable feedback?
Product prioritization tools like Zeda.io make it easy for product management to isolate and act upon valid customer feedback.
If the information available is incomplete, you can instantly start research from there. This will help you ensure the accuracy of the feedback provided. As a result, the probability of developing an undesirable feature decreases.
How does a product prioritization tool help to quantify impact for companies?
Product prioritization tools help you conduct user research to put a pin on customer sentiment regarding a potential feature.
This reduces the risk during the product feature prioritization process. Zeda.io allows you to assign scores to each feature to assess their impact before prioritizing them.
Furthermore, team members can vote and collaboratively decide which features will make it to the next sprint.
Does the product research help in following user research across a number of devices?
Product research gathers information about your product’s development direction that ensures maximum business value. User research is about what your customers want.
Product research follows user research to find overlapping interests for accurate feature prioritization. The key here is to put the data from both sources in one place for easier decision-making.
Zeda.io facilitates that by helping you create customizable dashboards for easier data analysis.
Does feature request management help in calculating the site as well as the page interactions?
Feature request management takes the help of data to prioritize product features accurately. Data such as page interactions and session duration provide relevant insights into the level of user engagement which improves feature request management.
This helps remove ambiguity during sprint planning. As a result, your product development will become faster and leaner.
During a user research, what are the key characteristics of Data-Curious vs Data-Informed users?
Data-curious users review their user analytics 3-4 times a week, whereas data-informed users do it 7-10 times.
During user research, it is crucial to remain up-to-date with different datasets to extract meaningful insights from them. Product managers need to be data-informed.
Zeda.io makes it easier by gathering data from different sources and showing it in one place.
What are the strategies used by feature prioritization frameworks to analyze user research?
Feature prioritization frameworks assign a score to each feature request based on its business impact and the investment required.
Feature prioritization software such as Zeda.io makes it easy for PMs to use these frameworks. The most common frameworks are RICE, Kano, and MoSCoW. Zeda.io offers various frameworks that you can readily use.
However, you can also customize your own frameworks to meet your requirements.