Customer Interview Excel Alternative

Your Customer Interview database at a glance

This template centralizes your user research calls, interview notes, and product feedback in one place. It helps product and research teams connect raw customer quotes directly to actionable roadmap themes without losing context.

It links four purpose-built tables: Users, Customers, Interviews, and Insights. Every interview log directly connects to the relevant participant profile and the resulting feature requests or pain points.

Built-in AI fields automatically analyze call transcripts to classify sentiment, generate 3-bullet call summaries, and fetch live company descriptions for interviewees via web search.

When customer interview notes fork across emailed spreadsheets

Sharing customer research via static workbooks usually leads to fragmented files sitting in separate inboxes. One team member logs feedback in their local copy, another edits a duplicate, and synthesis turns into a painful re-consolidation exercise.

What a structured database changes

A database replaces disjointed files with a single source of truth where records link naturally. You can attach full audio recordings and long-form transcripts to an interview record without bloating file sizes or breaking row heights.

Relational tables ensure that when you tag an interview with an insight, it updates across customer profiles and team views instantly. This is exactly what Softr Databases are designed for.

If you have existing files online, Softr can connect to online workbooks, but a dedicated database gives your qualitative research the permanent structure it needs.

What you can do with this template

Log discovery calls with structured metadata including dates, participant details, and assigned interviewers. Group qualitative notes into categorized themes like usability issues or feature requests with clear review statuses.

Natively embedded Database AI agents instantly read pasted transcripts to generate concise call summaries and determine sentiment, saving hours of manual tagging.

Who is this Customer Interview database for

This template helps cross-functional teams organize discovery findings and turn feedback into product decisions.

• Product Managers: Connect user feedback directly to feature ideas and track customer sentiment trends.
• UX Researchers: Maintain an organized repository of transcripts, audio recordings, and participant profiles.
• Founders & Operators: Capture early customer discovery notes systematically without setting up complex tooling.
• Product Marketing: Extract direct customer quotes and understand company contexts for better messaging.

How to take it further

You can adapt this template to fit your specific discovery methodology. Rename insight categories, add custom fields for user personas or deal sizes, and adjust sentiment select options to match your team's scoring criteria.

If you have past research logged elsewhere, upload your data via CSV in a few clicks to populate customer profiles and historic call notes immediately.

When you want to share findings with the wider company, you can build an app on top of this data. Describe what you need to Softr's AI Co-Builder to generate a custom research portal with tailored users and permissions, giving stakeholders read access while keeping raw participant contact details secure.