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Begin with insights, not preparation cycles
Upload raw SAV, CSV, Excel, and tracker data and start in an explore-ready workspace with charts, pivots, and significance cues already in place. No setup tasks, no formulas, no waiting.
Built for teams shipping insights at speed
Ship defensible insights the same day.
Turn surveys and trackers into an analysis workspace that surfaces the story, ranks the strongest patterns, and makes segment differences easy to explain.
Replace manual crosstabs, stitched dashboards, and static decks with a workflow shaped around your data, team, and delivery needs.
What makes AddMaple different
Five reasons teams choose AddMaple
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One place to connect quant, qual, and feedback data
Bring surveys, transcripts, support, reviews, and feedback data together so teams can reduce single-source bias and understand what people mean, not just what they clicked, with quant and qual in the same workflow.
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AI-coded themes and sentiment, traceable to the source
Code thousands of open-ends into auditable themes and sentiment, then link them statistically to other columns with evidence paths back to the underlying verbatims.
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AI agent grounded in data, not prompt ping-pong
Ask follow-up questions and trigger analyses on top of the stats and chart engine, with editable outputs grounded in the data instead of opaque AI responses.
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Local-first privacy with secure sharing
All processing happens in your browser unless you choose to publish a share link. Share secure explorable dashboards and editable outputs without viewer licences or another rebuild.
We have shaved a full month off of our project timeline in terms of analysis and visualization of our data. Clients love being able to root around in their data. AddMaple will guide them to where there are interesting correlations.
Susan Baier, Founder & CEO, Audience Audit
After 20 years using Tableau, they switched to AddMaple because it keeps analysis and client deliverables in one continuous workflow. Read the case study
Plan
Pro
For researchers, insight teams, and agencies running focused projects, recurring trackers, and stakeholder reporting.
- Complete AddMaple analysis workspace
- Quant, qual, and AI-assisted workflows
- Dashboards, exports, and shareable reports
- Guided onboarding for your first project
Plan
Business
For organizations standardizing AddMaple across teams, clients, recurring programs, and governed reporting workflows.
- Everything in Pro
- SSO, identity, and access controls
- Security, governance, and procurement support
- Tailored rollout, implementation, and team enablement
Everything you need. One workflow.
From raw data to decision-ready output in one place. Keep the analytical depth teams expect when they leave SPSS, Displayr, WinCross, Walr, Q Research Software, NVivo, or a patchwork of tools, while moving faster with explainable AI, interactive charts, and sharing built in.
AI analysis agent
Guided exploration, not prompt ping-pong
AddMaple's agent runs on top of the stats and chart engine so teams can ask follow-up questions, trigger analysis workflows, and keep every output grounded in reproducible results.
Included capabilities
- Asks and answers analysis questions as your exploration evolves
- Runs key driver analysis and advanced statistical workflows for you
- Interprets results in plain language with statistical context
- Prepares interactive charts and views you can continue exploring yourself
- Supports follow-up questions on the same context instead of restarting
- Lets analysts move from AI-assisted discovery to manual validation in one flow
- Keeps analysis conversational while preserving statistical grounding
Data preparation, trackers, and files
From raw and tracker data to analysis-ready, in minutes
Connect raw survey and tracker data, keep multi-wave programs aligned, and move straight into an explore-ready workspace instead of losing time to spreadsheet prep cycles.
Included capabilities
- .sav / SPSS, CSV, and Excel imports
- Survey platform integrations (Qualtrics, Decipher, Alchemer, QuestionPro, Typeform, SurveyMonkey, Tally), Google Drive, and secure data lake connections
- Multi-wave and tracker alignment: consistent variables and coding, wave-on-wave and trend views, and repeatable updates as new waves or field periods land
- Multi-file datasets across historical and current field periods; dashboards and tables that carry forward and highlight shifts in key metrics across waves
- Derived variables, recoding, grouping, custom bins, and column management for multi-selects and reshaping
- RIM, target weight construction, and weight application across charts, pivots, tests, and exports
- CSV and Excel export of prepared and analyzed data
Statistical testing
Auto-run the right test, then surface what matters
AddMaple automatically selects the appropriate test, supports full banner-table workflows, and surfaces the strongest differences so teams do not have to hunt manually through crosstabs.
Included capabilities
- Auto-selects the right test by variable types and surfaces related columns
- Chi-square, t-tests, ANOVA, Kruskal-Wallis, Pearson, and Spearman
- Full banner plans and interactive crosstab tables with bases, column indices, significance letters, and z-score shading (Holm-adjusted p-values)
- Pairwise and overall chi-square significance; Excel crosstab exports with banners, counts, and percentages
- Likert metrics including top-box, bottom-box, and net scores
- Choice modeling methods: MaxDiff, TURF, and Conjoint with scenario simulation
- Utilities, shares, confidence intervals, and diagnostic outputs
Key drivers and regression
Find what actually drives your outcomes
Rank the strongest drivers behind an outcome or metric across real survey data, so teams can move from noticing a change to understanding plausible reasons backed by evidence.
Included capabilities
- Key driver analysis with Elastic Net and Random Forest on mixed survey variables (numeric, categorical, opinion scales, multi-select—not numeric-only)
- Ranked drivers and importance with outputs you can explain to stakeholders
- Linear regression for continuous relationships
- Binary logistic regression for two-outcome questions
- Supporting metrics: coefficients, R-squared, pseudo R-squared, and balanced accuracy where applicable
Segmentation and clustering
Find structure in the data automatically
Use AddMaple's proprietary auto-clustering to find meaningful segments across mixed variable types, so segmentation starts from interpretable structure rather than manual model setup.
Included capabilities
- Proprietary auto-clustering across mixed variable types
- Works across numeric, categorical, opinion scale, and multi-select data
- No manual model setup required to generate usable segments
- Silhouette scoring for cluster quality
- PERMANOVA for cluster validation
- Flexible modular segmentation across variables
Text analysis and AI
Keep quant and qual in one platform
Analyse open-ends, interview transcripts, and structured survey data together so numbers and words live in the same workflow, with outputs tied back to the source.
Included capabilities
- Multi-language text analysis across 80+ languages
- Large text workloads at survey scale (100,000+ rows)
- Qualitative interviews and transcripts alongside survey open-ends
- AI coding for themes, sentiment, and categorisation
- Open-ended analysis connected to quantitative variables
- AI research assistant inside the workflow
- Explainable outputs tied back to the underlying data
Calculated columns
Create derived variables without leaving the platform
Build reusable derived columns for scoring, formulas, and text cleanup so teams can keep analysis moving without exporting to another tool.
Included capabilities
- Custom formula columns
- Survey score columns: NPS, CSAT, CES, UMUX-2, UMUX-4
- Text operations: concatenate, extract, and format
- Weighting columns
- Cronbach alpha and factor score calculations
- Calculated columns usable in filters, charts, pivots, dashboards, and exports
Visualization
Communicate findings with chart coverage teams expect
Move from analysis to stakeholder-ready visuals without rebuilding in a separate BI tool or slowing the workflow down with manual chart production.
Included capabilities
- Horizontal and vertical bar charts (single and multi-column)
- Stacked, grouped, and three-column grouped-stacked bar views
- Line and trend charts for time-based analysis
- Likert charts for opinion-scale questions
- Box plots and mean dot plots for numeric distributions
- Bubble and dot charts with fixed or auto scaling
- Pie, donut, rose, and geographic map charts
Dashboards, sharing, and exports
Deliver work people can actually use
Move from analysis to polished, explorable outputs in the formats teams already use, without rebuilding the story somewhere else.
Included capabilities
- Interactive Insights Hubs
- Share dashboards and individual charts via URL (public or password-protected)
- Multi-analyst collaboration on shared projects
- Explorable column views and guess charts for interactive reveal and audience engagement
- Embed charts in Notion and other content systems
- Editable PowerPoint exports
- Read-only stakeholder views with governed access
Post-fieldwork workflow comparison
Traditional post-fieldwork workflows are slow to explore
Request crosstabs, wait for outputs, scroll through tables, repeat.
Traditional Crosstab Cycle
- Data processing starts
- Request crosstabs, often without seeing the data
- Wait for tabulations or data processing
- Receive static spreadsheets
- Scroll through hunting for significant differences
- New question appears, then request new crosstabs again
Teams get stuck in tables while follow-up questions and hidden patterns pile up.
AddMaple Workflow
- Connect raw data straight from survey tools and files
- Auto-transform into an explore-ready workspace
- Click any demographic or question to see top group differences
- Ask AI to explain differences using tests and full dataset context
- New question appears, answer it immediately
- Write the story as you explore with branded charts and tables
Build banners, find key drivers, and uncover clusters from raw data on day one.
Built for in-house teams and agencies
One workflow across CX, insights, and people teams.
In-house teams
For in-house insights teams
Move from ad-hoc projects to continuous customer intelligence that informs marketing, sales, growth, product, and leadership.
- Connect customer signals across sources
- Theme and sentiment tracking over time
- Evidence-linked key drivers and clustering
- Same-day decision outputs for leaders
Agency teams
For agencies
Deliver insight work clients can explore, trust, and act on without stitching together static handoffs across multiple tools.
- Deliverables clients can explore, not static decks
- Faster turnaround from raw data to story-ready output
- Multi-file projects and tracker workflows
CX, insights, people
For CX, insights, and people teams
Use the same analysis foundation to understand customers, explain research findings, and track employee experience.
- CX teams: connect NPS, support, reviews, and open feedback to find drivers
- Insights teams: analyze surveys, trackers, and open ends with defensible stats
- People teams: understand employee experience and measure whether changes work
Cited in peer-reviewed methods research for coding open ends into themes (Elsevier / Science Direct)
AddMaple creates instant chart dashboards that let you analyze your survey data visually and is one of the best ways I've found to conduct AI-powered thematic analysis of open-ended results.
Andrea Knight Dolan, Professor at University of Toronto, ex-Google
Expand as your needs grow
Clustering and segmentationAdvanced data tables (Excel outputs)High-volume data collectionCustom integrations and SSO
Need a head start?
Start from value, not setup
We will clean your data and build a ready-to-use dashboard with key insights so your team starts with usable outputs, not a blank workspace or another setup cycle.
Research-grade methods
Dr Tami Yap, BDSc (Hons) FRACDS DCD PhD FOMAA
Built for rigorous thematic analysis: used in peer-reviewed research to code large open-text datasets into auditable themes.
Pricing
Tailored pricing for teams shipping insights at speed
Built for insight teams and agencies running recurring trackers, stakeholder dashboards, and cross-source analysis. Pricing is tailored to your workflows, data complexity, and scale.