A workflow the whole team can run
Clean survey exports, run cross-tabs and stats, code open ends, and publish dashboards — without passing files between tools or relying on one specialist to keep the project usable.
Survey analysis for research teams
Compare AddMaple with the survey tools you already know
Each guide covers a real workflow matchup — SPSS syntax and multi-select setup, Tableau calculated fields, DisplayR reporting overhead, Citrus batch runs, or Crunch cross-tab ops — and where AddMaple fits if speed and breadth matter more than your current stack.
Why teams choose AddMaple
What most teams are really comparing
The question is rarely “which tool has more features.” It is whether your next survey project needs another setup sprint — variable recoding, data reshaping, report configuration — or a workspace where exploration, text coding, and sharing stay in one place.
Built for how surveys arrive
Multi-selects, Likert grids, messy labels, and platform quirks are handled on upload so you start analyzing instead of recoding.
Patterns you can reuse
Related columns, clustering, and key-driver output become segments and filters you carry through charts, tables, and client dashboards.
Customer story
“I love working in AddMaple. My team loves AddMaple. My clients love AddMaple.”
Susan Baier, Founder & CEO, Audience Audit — replaced Tableau for explorable survey research.
Read the Audience Audit case study →
Compare AddMaple with the tools you are evaluating
Pick the tool you are evaluating. Each page walks through a concrete project scenario, screenshots, feature tradeoffs, and an honest “choose them if / choose AddMaple if” summary.
DisplayR
AddMaple vs DisplayR: Survey Analysis Without the Reporting Overhead
Compare AddMaple with DisplayR for survey analysis: setup time, R scripting requirements, cross-tabs, open-ended coding, dashboards, and when DisplayR's technical reporting still wins.
Citrus Analytics
AddMaple vs Citrus Analytics Fusion
Compare AddMaple with Citrus Analytics Fusion: SPSS-first batch analysis runs vs live survey exploration, PowerPoint automation, open-ended coding, and shareable dashboards.
SPSS
AddMaple vs SPSS for Survey Analysis
Compare AddMaple with IBM SPSS: variable setup, Multiple Response sets, cross-tab menus, open-ended coding, significance with effect sizes, and when SPSS still wins for modeling.
Tableau
AddMaple vs Tableau for Survey Dashboards
Compare AddMaple with Tableau for survey dashboards: data reshaping, LOD expressions, multi-select logic, text themes, significance testing, and client sharing without viewer licenses.
Crunch.io
AddMaple vs Crunch.io for Survey Analysis
Compare AddMaple with Crunch.io: cloud survey storage and cross-tabs vs browser-speed exploration, AI text coding, auto-stats, Insights Hubs, and when Crunch's collaboration model fits.
See AddMaple on a real survey project
Book a walkthrough with your team or explore sample data to see how fast AddMaple moves from upload to charts, stats, themes, and shareable dashboards.