This template gives research and product teams a centralized system to log discovery calls, store transcripts, and extract actionable feedback. It eliminates the mess of scattered notes and disconnected spreadsheets.
The database connects your Customers, Interviews, and Insights tables natively. Every interview links back to the customer profile and automatically bubbles up categorized insights like feature requests or pain points.
Built-in AI features automatically summarize long transcripts into neat bullet points, analyze conversation sentiment, and search the web to enrich customer profiles.
Pasting long transcripts and connecting them to product insights quickly turns Google Sheets into an unreadable mess of scrolling rows.
Unlike spreadsheets, a structured system keeps large text blocks neatly contained while maintaining clear relationships between data. You can link a deep-dive interview directly to multiple granular insights without endless copy-pasting.
Everything stays strictly categorized, and files like call recordings are effortlessly attached. This is exactly what Softr Databases are designed for.
You can immediately start logging calls, attaching video recordings, and tracking the status of abstracted themes. It provides a clean, scalable home for every piece of user feedback.
Thanks to native Database AI agents, this template also works on autopilot. It reads your raw transcripts to generate reliable summaries and determines whether customer sentiment was positive or negative.
Manage internal team members conducting research calls and their roles
Maintain a list of interviewees with company info enriched by AI search
Store call transcripts with AI-powered summaries and sentiment analysis
Categorize themes and pain points derived from customer feedback sessions
This system is built for teams that rely on structured user research to drive decisions.
You can easily adapt this database to fit your exact research process. Add new fields to capture specific user metrics, or adjust the Insight categories to match your roadmap.
Bring in your past research immediately. Upload historical raw transcripts, customer details, and insights via CSV so nothing gets left behind.
When your team needs a better way to interact with this data, you can build a custom portal on top of it. Using the interface builder, you can create specific dashboards to share insights visually.
By leveraging built-in users and permissions, you control exactly what each department can see or edit. Starting with a structured database makes building these robust internal tools incredibly simple.
A customer interview database is a structured system designed to log discovery calls, store transcripts, and group feedback. It tracks exactly who you spoke with, what was said, and bridges those conversations to actionable product insights.
A no-code database allows product teams to spin up a production-ready system in minutes without waiting on developers. It gives you the autonomy to structure your data exactly how your team works, ensuring insights are always organized and easy to maintain.
AI Database co-builders can help you configure new tables and write complex formulas instantly. Additionally, built-in AI agents can read your raw call transcripts to automatically generate concise bullet-point summaries, search the web for company data, and classify the overall sentiment of the conversation.
Yes, you can easily turn this data into a secure internal tool using Softr's interface builder. You can set up custom access permissions to ensure product managers only see summarized insights while researchers access the full transcripts and source recordings.
Yes, this template is completely free to get started. Softr includes fully functional databases in its free plan, so your team can begin logging interviews immediately. Higher-tier plans offer increased record limits as your research scales.
Google Sheets inevitably breaks down when filled with long paragraphs of raw text, messy file links, and complicated relational data. A structured database enforces column types, keeps transcripts contained, and links an interview to specific customers and insights without relying on fragile VLOOKUPs.