Zeda Updates

AI Product Insights for Faster, Evidence-Backed Product Decisions

Riya Handique

Product Marketer

Riya Handique

Created on:

July 17, 2024

Updated on:

July 17, 2024

5 mins read

AI Product Insights for Faster, Evidence-Backed Product Decisions
Only 15% of product managers report having regular, direct interactions with their end users, leading to a lack of firsthand understanding of customer needs.

-according to a report by Mixpanel.

Shocking?

In today's fast-paced business landscape, product managers face the constant challenge of collecting and most importantly, transforming product feedback from customers into real-time, actionable insights that drive product development strategy. And that has been a crucial challenge in implementing a well-structured product discovery process in most product-led organizations.

From the very beginning, we built Zeda.io on the notion that in order to empower product teams to make quicker, more informed decisions, they should adopt a more consumable, evidence-backed approach to product discovery.

And our Q2 in 2024 was all about taking product discovery a notch higher - from making your Product Insights more intuitive in order to help you grasp user problems easily, to making it evidence-backed for you to take actions 10x faster.

🎉 Introducing an all-new Product Insights hub

The new product insights hub gives you a deeper, more actionable understanding of the Voice of Customer, by focusing on two critical aspects —

  • High-quality insights that are easier to consume — It means that the product insights gathered from customer feedback is presented in a clear, real-time and straightforward manner, enabling users to quickly grasp and act on it.
  • Evidence-backed insights for faster decision making — The new product insights support quicker and more confident decision-making with real feedback highlights, video clips, etc. , reducing uncertainty around your decision-making process.

By leveraging advanced AI and natural language processing, we've created a centralized hub that transforms your unstructured data into actionable insights, in minutes. Let’s dive in.

1) Sentiment & intent overview from feedback

Keep tabs on customer comments, reviews, and support tickets to determine whether the sentiment is positive, negative, or neutral. Also, quickly identify the underlying intent behind the feedback, such as a feature request, bug report, praise or a general comment.

Now you can prioritize issues and feature requests based on how your customers are actually feeling. By quickly identifying the most pressing concerns, product teams like yours can focus your efforts on areas that will have the greatest impact on customer satisfaction & retention.

AI Insights

2) Feedback & video highlights from customer interactions

You can upload your customer call recordings into Zeda.io, which are then automatically analyzed for key moments and highlights. These highlights are then linked to specific product insights, providing evidence-backed context for your team decisions. The same works for text-based feedback coming in from support tickets, slack chats, etc.

The goal is to take the burden of insights consumption off your shoulders, making the evidence clear so you can make decisions effortlessly.

AI Insights

3) Instant feature recommendations with AI

One of the biggest challenges in product management has been directly linking customer feedback to specific product improvements. With this new update, you will be able to link feature ideas from a product insight. These could be existing features from your product backlog or newly suggested AI features.

By aligning customer feedback with the product roadmap, you can now prioritize features that boost customer satisfaction, while also focusing on your business goals.

AI Insights

🕵🏻 Now address your own hypotheses with Custom Reports

Once you have all your insight evidences in one place, the all new Product Insights hub lets you create and save custom reports that will enable users to create their own queries and construct their own problem statements.

These are based on specific segments, feedback pieces, or other filters - and by changing the Y & X-axis to arrive at the desired query. The idea is to help you discover and tackle unique challenges and gain deeper insights into particular features of your product.

For instance, you could create a report focusing on specific customer insights about the checkout process. By analyzing the sentiment and intent behind this feedback, you can identify pain points and prioritize improvements that will most impact your conversion rates and revenue.

AI Insights

More gems, launching 🔜

By providing a more consumable, evidence-backed approach to product discovery, Zeda.io’s Product Insights hub empowers product teams to make faster, more informed data-driven decisions.

Stay tuned as there's a lot more coming for your Product Insights dashboard with more real-time tracking of what your customers have to say, what are the trending product areas and how these impact your bottomline.

To learn more about how the new Product Insights hub can transform your approach to product discovery, book a walkthrough with us and get 1-month free POC along with special quotes.

Happy building!

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