Zeda Updates

Leverage Themes to Decode Customer Insights in Product Discovery

Product Marketer

Riya Handique

February 6, 2024

5 mins read.

Leverage Themes to Decode Customer Insights in Product Discovery

The Challenge of Data:

Data is good. But it is also a challenge - especially when you are dealing with tons & tons of data.

This is also the case for a product manager when you are analysing tons & tons of user feedback from multiple sources.

You get excited by the multitude of data in your hand but you can cut it in so many different ways, that the volume and the possibility of outcomes scares you.

It’s difficult to say when you need to stop.

It’s difficult to set the guardrails for what exactly you’re solving for.

Then, the questions arise-

  • What is the core user insight you need to work on?
  • What are some of the the overarching themes here?
  • What would be the business impact of these insights?

.. and so on.

Validating Data through Actionable Insights:

Having more data doesn't necessarily equate to more meaningful insights. The key is to derive "actionable" insights, requiring product managers to define clear boundaries for different sets of user feedback. The focus is on avoiding distraction by analyzing insights that genuinely address user pain-points, understanding the overarching themes, and taking targeted action.

Considerations during this analysis include:

  • Recognizing the limitations of manual analysis, which is time-consuming and potentially biased.
  • Evaluating the actionability of each overarching theme.
  • Ensuring every theme validates with a revenue impact as a guiding metric.

Aligning these considerations with decision-makers' motivations becomes crucial. This is where AI-powered insights by Zeda.io play a pivotal role.

Introducing “Themes” for Interpreting Customer Insights

Product managers are increasingly embracing AI, as it adeptly sifts through extensive user feedback, categorizing them into themes and sub-themes. This offers a comprehensive understanding of customers' sentiments and nuances within the feedback.

At Zeda.io, leveraging themes for analyzing customer insights involves:

Themes

These are dynamic feedback folders that you can define by products, modules, strategic narratives, or any relevant topic - think of it as sorting your insights library.

Sub-themes

AI generates sub-themes, breaking down larger themes into smaller, actionable buckets to address specific feedback or issues promptly.

Evaluating Business Impact for Each Theme

Product managers often grapple with the dilemma of "Can we do it" vs "Should we do it." Truly actionable insights must align with business outcomes, necessitating understanding the revenue impact, major customer segments, and the trend of specific insight themes.

Zeda.io’s AI-powered Insights feature aids in comprehending the impact of each theme, providing context behind customer insights to facilitate informed decision-making.

Bonus: AI-Powered Feature Recommendations

Time to address the feedback and close the loop.

Zeda.io enables immediate action on customer insights with AI-suggested features. AI simplifies sifting through vast datasets, making it easier to unlock insights and drive decision-making with rapid feature ideas.

Get Started with AI-powered Insights by Zeda.io

In the era of information overload with emerging feedback capture tools, the integration of AI and theme-based analysis is pivotal for driving impactful insights and positive business outcomes.

Harness the power of AI-powered Insights with Zeda.io and stay at the forefront of data-driven decision-making.

Book a walkthrough to set up your single source of truth, and understand what truly matters to your customers and your business.

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Zeda Updates

Leverage Themes to Decode Customer Insights in Product Discovery

Riya Handique
Product Marketer
February 6, 2024
5 mins read.
14-day free trial

Decide what to build next with AI-powered Insights

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IN THIS ARTICLE:
  1. What are product discovery techniques?
  2. 8 key product discovery techniques link
  3. Conclusion
IN THIS ARTICLE:
  1. What are product discovery techniques?
  2. 8 key product discovery techniques link
  3. Conclusion

The Challenge of Data:

Data is good. But it is also a challenge - especially when you are dealing with tons & tons of data.

This is also the case for a product manager when you are analysing tons & tons of user feedback from multiple sources.

You get excited by the multitude of data in your hand but you can cut it in so many different ways, that the volume and the possibility of outcomes scares you.

It’s difficult to say when you need to stop.

It’s difficult to set the guardrails for what exactly you’re solving for.

Then, the questions arise-

  • What is the core user insight you need to work on?
  • What are some of the the overarching themes here?
  • What would be the business impact of these insights?

.. and so on.

Validating Data through Actionable Insights:

Having more data doesn't necessarily equate to more meaningful insights. The key is to derive "actionable" insights, requiring product managers to define clear boundaries for different sets of user feedback. The focus is on avoiding distraction by analyzing insights that genuinely address user pain-points, understanding the overarching themes, and taking targeted action.

Considerations during this analysis include:

  • Recognizing the limitations of manual analysis, which is time-consuming and potentially biased.
  • Evaluating the actionability of each overarching theme.
  • Ensuring every theme validates with a revenue impact as a guiding metric.

Aligning these considerations with decision-makers' motivations becomes crucial. This is where AI-powered insights by Zeda.io play a pivotal role.

Introducing “Themes” for Interpreting Customer Insights

Product managers are increasingly embracing AI, as it adeptly sifts through extensive user feedback, categorizing them into themes and sub-themes. This offers a comprehensive understanding of customers' sentiments and nuances within the feedback.

At Zeda.io, leveraging themes for analyzing customer insights involves:

Themes

These are dynamic feedback folders that you can define by products, modules, strategic narratives, or any relevant topic - think of it as sorting your insights library.

Sub-themes

AI generates sub-themes, breaking down larger themes into smaller, actionable buckets to address specific feedback or issues promptly.

Evaluating Business Impact for Each Theme

Product managers often grapple with the dilemma of "Can we do it" vs "Should we do it." Truly actionable insights must align with business outcomes, necessitating understanding the revenue impact, major customer segments, and the trend of specific insight themes.

Zeda.io’s AI-powered Insights feature aids in comprehending the impact of each theme, providing context behind customer insights to facilitate informed decision-making.

Bonus: AI-Powered Feature Recommendations

Time to address the feedback and close the loop.

Zeda.io enables immediate action on customer insights with AI-suggested features. AI simplifies sifting through vast datasets, making it easier to unlock insights and drive decision-making with rapid feature ideas.

Get Started with AI-powered Insights by Zeda.io

In the era of information overload with emerging feedback capture tools, the integration of AI and theme-based analysis is pivotal for driving impactful insights and positive business outcomes.

Harness the power of AI-powered Insights with Zeda.io and stay at the forefront of data-driven decision-making.

Book a walkthrough to set up your single source of truth, and understand what truly matters to your customers and your business.

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