What is an Interpretation?

An Interpretation in Kimola is an AI-powered analysis layer that generates advanced, human-readable insights from your dataset. Interpretations go beyond basic metrics by transforming analyzed data into structured explanations such as summaries, patterns, motivations, and actionable findings.

Interpretations are powered by Kimola’s GPT integration and are designed to help you quickly understand why something is happening in your data — not just what is happening.

What Interpretations Provide

Interpretations generate qualitative insights based on the analyzed dataset, including:

• Executive Summary – A concise overview highlighting key positive and negative findings
• Performance – Top and bottom performing themes based on adjusted sentiment
• Usage Motivations – Main reasons customers choose the product or service
• Feature Requests – Most frequently requested features and improvements
• Customer Journey – Actionable stages of the customer experience
• Personas – Buyer personas generated from customer feedback
• Highlights – Key insights extracted from the dataset
• Frequently Asked Questions – Common questions and answers derived from reviews
• Product Description – E-commerce–ready product description based on feedback
• App Description – App store description generated from app reviews
• Product Features – Most liked product features for marketing or sales use
• Product Roadmap Generator – Feature requests and bugs translated into a roadmap
• Marketing Recommendations – Actionable marketing suggestions based on customer feedback

These outputs are written in natural language and are especially useful for reports shared with non-technical stakeholders.

When Interpretations Are Used

Interpretations are optional and can be added either during report creation or after a report is created. You may choose to use them when:

• You want ready-to-use summaries in addition to reviewing sentiment and themes
• You need insight narratives for presentations or executive reporting
• You want to quickly identify key themes without manual analysis
• You are working with large or complex datasets

If interpretations are not needed, reports can still be created using standard analysis outputs such as sentiment, topics, and trends.

How Interpretations Work in Kimola

Interpretations work on already analyzed data. The process follows these steps:

1. A dataset is prepared (from a feed, links, custom dataset, or integration).
2. Kimola analyzes the data using standard analytics (sentiment, themes, trends, etc.).
3. Selected interpretations use AI to generate written insights based on those results.

Interpretations do not change the underlying data. They only generate additional insight layers on top of existing analysis.

Interpretation Selection

During report creation, you can select one or more interpretations based on your needs. Each selected interpretation contributes a specific type of insight to the report.

Interpretations are grouped by use case (such as customer experience, product analysis and e-commerce), making it easier to choose relevant ones for your dataset.

Usage and Credits

Interpretations use GPT credits. The number of available interpretations depends on your plan and remaining credits.

During the trial period, accounts start with a limited number of GPT credits. Once credits are used, interpretations cannot be generated until more credits are available or the plan is upgraded.

Why Interpretations Matter

Interpretations help bridge the gap between data and decisions by:

• Reducing manual analysis time
• Turning complex results into clear narratives
• Making insights accessible to wider teams
• Supporting faster, data-driven actions

They are especially valuable when insights need to be communicated clearly, quickly, and consistently.