01
Bulk CSV Import
Import 100–1,000 feedback items from any CSV source—Google Sheets, Typeform, SurveyMonkey, NPS tools, or custom spreadsheets—in minutes.
A customer-led workflow
Turn Spreadsheet Feedback into Roadmap Priorities
You have feedback in surveys and spreadsheets—turn it into a prioritized roadmap in 1 hour
Customer evidence
“BuildBetter is becoming our go-to tool for strategic planning.”
From the request to the reason behind it.
Bring customer feedback together, inspect the source, and carry the evidence into the decision. The example interface below shows how your team can work with that context.
Put it to work.
02
Automatic Signal Extraction
AI reads every row and pulls out structured signals: problems, feature requests, praise, and questions—no manual tagging required.
03
Theme Clustering
Automatically surface the top 5–10 themes across all feedback, grouping semantically similar responses even when worded completely differently.
04
Prioritization Matrix
Rank themes by frequency, sentiment severity, and customer segment to generate a data-backed roadmap you can share with your team immediately.
A practical place to start.
Prepare Your Data — 15 minutes
Export to CSV
Export your feedback from Google Sheets, Typeform, SurveyMonkey, or any NPS/CSAT tool to CSV format. Save it somewhere accessible.
Check Your Columns
Confirm you have a feedback text column (could be named 'Response', 'Comment', 'Feedback', etc.). Optional but helpful: customer name, date, company, user type, and rating.
Quick Cleanup
Remove completely empty rows and merge any multi-line responses. Don't obsess over perfection—BuildBetter handles messy data well.
Import to BuildBetter — 10 minutes
Upload Your CSV
Click Upload in the top right, select Import Text Data or CSV Upload, then drag-and-drop your file. BuildBetter starts processing immediately.
Map Your Columns
Map your feedback text column to Content/Message, and optionally map author, date, company, and any metadata columns like NPS score or user segment.
Let It Process
BuildBetter processes each row, extracts signals, identifies sentiment, and categorizes by theme. Takes 5–15 minutes for 100–500 items—you can navigate away while it runs.
Explore and Prioritize — 35 minutes
Review Signals and Find Top Problems
Go to Signals, filter by type (Problem, Feature Request, Praise), and scroll for patterns. Look for issues mentioned by 3+ people independently—those are real, not one-offs.
Ask AI to Find Themes
Use Chat to ask: 'What are the top 5 most common problems in this feedback? Group similar issues together.' You'll get a ranked list with representative quotes in seconds.
Build a Prioritization Matrix
Ask Chat: 'Create a prioritization matrix. For each major problem, tell me how many people mentioned it, how frustrated they are, and your recommended priority.' Export as a shareable product brief.
Keep the workflow useful
- Start with your largest feedback source first—most teams get 80% of insights from their top 2–3 sources
- Import all feedback sources (NPS, support, forms) and tag by source so you can segment and compare
- Look for problems mentioned by 3+ customers independently—frequency across independent reporters signals real need
- Make tracking a monthly habit: import new feedback, check if earlier complaints are declining, and validate your roadmap
Keep exploring.
Your feedback spreadsheet is a goldmine. Ready to mine it?
Bring a real question. We’ll walk through the context and the next step together.
Book a demo