Sift — AI Customer Feedback Analysis

A web app that turns piles of customer reviews into a ranked list of what to fix first.

Product teams collect feedback everywhere: app store reviews, support tickets, surveys. Reading it all takes hours, and the loudest complaint isn't always the most important one. Most teams end up guessing what to fix next.

Sift reads every piece of feedback for you. Paste your reviews or upload a spreadsheet, and within a minute you get:

The themes your customers keep bringing up

How positive or negative each theme is

One clear "fix this first" recommendation, backed by real customer quotes

A weekly health score to see whether things are getting better

I designed Sift to feel like a calm instrument panel, not another noisy dashboard. The most costly problem sits at the top in a single dark card, and everything else is ranked underneath. Every number links back to the actual customer words behind it, so teams can trust the grouping instead of taking it on faith.

Visitors can explore the full product instantly with sample data, no sign-up needed, and the live demo has usage limits to keep running costs predictable.

A live web app: landing page, dashboard, theme details, feedback explorer and import flow

AI analysis that works with any major AI provider

Mobile-friendly, accessible interface

A 26-second launch video, animated and sound-designed from scratch

Clean, documented code on GitHub

Live demo: sift.virlabs.my.id Code: github.com/mvirgiawancr/sift

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