Synthesize Qualitative Research with Notably

The data-driven sticky note your qualitative research deserves.

Digital sticky notes in other tools have many of the same limitations as physical sticky notes. We're bringing a data-driven approach to the hands-on, physical analysis process we all love and miss in today's remote world.

Collect and organize all of your raw research data in one place.

Turn video or audio recordings into a transcript or take notes directly in a Notably document. Build a network of knowledge organized in a shared research repository.

Analyze data as sticky notes on a canvas and rows in a table.

Highlight and tag data as patterns start to emerge. They are turned into sticky notes on a canvas and rows in a table for research analysis.

Create data-driven research frameworks on an infinite canvas.

Add text and lines on the canvas to create dynamic, data-driven research frameworks, like empathy maps and journey maps.

Always have context with every piece of data.

Uncover themes across your research data. The original context of the data is always connected and only 1 click away.

Notably replaces these tools with an all-in-one platform that’s thoughtfully designed for your research workflow.

Notetaking apps

Replaces Notion, Google Docs, and Dropbox Paper for research notes.

Transcription Services

Replaces Otter & Rev for turning recordings into transcripts.

Spreadsheet tools

Replaces Excel, Airtable, and Google Sheets for analyzing  data in spreadsheets.

Whiteboarding apps

Replaces Miro, Mural, and Figjam for analyzing  data spatially.

Shared drives

Replaces confluence, Google Drive, and wikis for storing research data and findings.

Trusted by researchers and designers at companies like

Notably has cut my time analyzing user feedback and research interviews by more than half. I don't know how I lived without it before.

Laura, Sr. Product Marketing Manager at Beam

Give your research synthesis superpowers.

Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.