Feedback
We build from what users tell us — feature requests, bug reports, and the awkward questions that come up on demo calls. If something is missing or broken, email us. We read it.
About AddMaple
About Us
AddMaple is a survey analysis platform that turns raw research data into an explorable workspace in seconds. Insights teams, research agencies, and CX teams use it to get past the usual export-clean-tabulate-deck cycle — and into analysis they can actually poke at, stand behind, and share.
Thank you to the teams growing with us.
Why it started
Most survey analysis still starts with waiting. Data gets exported into spreadsheets, cleaned by hand, cross-tabulated by a separate team, and pasted into slides. Open-ended responses often live in another tool entirely. By the time a finding reaches a stakeholder, it arrives as a static deck that cannot be sliced further or explored.
AddMaple replaces that workflow. Raw data from any survey format becomes an explore-ready workspace immediately, with charts, pivots, and AI-coded themes linked to structured variables in one place. A proprietary stats engine selects the right tests and ranks the strongest findings in the background. Researchers build their own crosstabs with the banner points they need. Report writing and data processing stop being two separate jobs.
Our north star
Insights Per Minute
How much understanding someone can pull from their data in the time they have. Other tools make you prep first and hope insight shows up later. We wanted the opposite.
We're self-funded, intentionally
AddMaple is self-funded on purpose. Users shape the roadmap, not outside investors.
That keeps pricing accessible, lets us offer proper academic discounts, and means you can pause or cancel without jumping through hoops. We answer to the teams who use AddMaple every week — not a board deck.
Our journey
AddMaple started because of frustration. Ange, our founder, worked in UX and product research and kept hitting the same wall: data stuck in different departments, spreadsheets one wrong cell away from breaking, and analysis queues that slowed down every decision.
The idea was to make survey analysis fast enough to explore in real time, trustworthy enough to put in front of a client, and simple enough that you don't need a stats degree to find what matters. Raw data stays intact. Qual and quant live in the same place. Findings ship as Insight Hubs people can come back to — not one-off decks everyone forgets.
Since V3, Audience Audit has cut a full month from analysis timelines. Superstruct uses AddMaple for attendee feedback across 60+ multinational festivals. We won Paddle's AI Launchpad (1st of 77 startups), got cited in peer-reviewed Elsevier research, and took two awards at the 2026 Insight Innovation Competition.
Those teams didn't switch tools to shave a few hours off tabulation. They wanted to answer the next question immediately — without sending another banner spec and waiting.
What we prioritize
Empowerment
We build for researchers and analysts who need real analytical depth, not a tool that dumbs everything down. Every dataset opens with charts and summary tables already there, so you start by looking at the data, not configuring it.
Collaboration
Research teams include people with very different data skills. AddMaple is built so the stats, charts, and AI stay connected to the underlying data — useful for the analyst checking significance and the account lead writing the story.
Agility
We are a small team. That means we ship quickly and talk to users directly. When our backlog stops reflecting what teams actually need, we archive it and reprioritize — painful, but it keeps us honest.
Try it on a real dataset
Book a demo, or jump into the taster experience and see what explorable analysis actually looks like.