IIEX North America
Washington DC29-30 April 2026
Our Pitch? The future of insights is not just about FASTER analysis.
It is connected people understanding across fragmented data.
Watch our winning IIEX demo
Customers, employees, and users leave signals everywhere:
surveys, reviews, support conversations, interviews, community channels, behavioural data, and internal systems.
But most teams still analyse those sources separately.
That creates blind spots, slows decisions, and leaves teams guessing what is really happening.
AddMaple brings fragmented data into one explorable workspace, so teams can understand:
In the award-winning IIEX demo, we used a webcam brand looking for growth opportunities.
AddMaple connected survey data, tested statistical relationships, explored open-ended feedback, analysed key drivers, and pulled in public reviews across 14 products.
The result was not just a faster dashboard.
It revealed a deeper customer truth: people were not only judging webcam quality on image clarity. They were judging how confident, professional, and in control they felt on camera.
That is the kind of insight teams miss when data stays disconnected.
AddMaple replaces slow, static analysis workflows with connected, explorable insight.
Instead of waiting for crosstabs, scrolling through spreadsheets, or sending another static deck, teams can:
So your insight does not stop at the presentation.
It keeps working across the organisation.
AddMaple is built for CX, insights, people teams, and agencies that need to turn disconnected data into action.
Use it to unify NPS, support, reviews, survey data, trackers, open feedback, employee experience data, and behavioural signals.
Find the patterns. Explain the drivers. Share the evidence. Track whether change is working.
AddMaple's AI does not sit on top of your data as a black-box summary tool.
It runs on top of AddMaple's statistical, charting, text analysis, and dashboard engines.
That means outputs are explainable, reproducible, editable, and traceable back to the underlying data.
If it can't link back to the evidence, it doesn't count as insight.
Watch the demo to see how AddMaple helps teams connect the dots, see what competitors don't, and ship better decisions faster.
New since Washington D.C.
Since our IIEX win, we've built Data Table Studio — a new feature for ranked crosstabs and crosstab-level AI.
See Data Table StudioIIEX Amsterdam · 23–24 June 2026
Since winning Experts' Choice and Audience Favourite in Washington D.C., we've built a new way to find the data story.
Build your banners. We rank the questions. AI at the crosstab level tells you what it means — without the old tab-spec, spreadsheet-hunt workflow.
New since our IIEX win
Our winning Washington D.C. demo proved connected insight across fragmented data. Data Table Studio is the new feature we've added since — ranked crosstabs and crosstab-level AI built for researchers who need to find the story, not hunt through spreadsheets.
Join the waiting list for early access before the IIEX Amsterdam debut. Be among the first researchers to use it on your own data.
Limited early access. Waiting list members invited first.
Choose your banner points: segments, markets, brands, occasions, or any subgroup that matters. Data Table Studio generates crosstabs across every question in seconds and ranks them by statistical strength linked to those banners.
Slow insight is a capacity problem. Teams must pick where to look. You don't know what you don't know. Patterns you never had time to test stay invisible.
When you can comb through statistical relationships quickly, you get alerted to patterns you did not expect. A CPG team recently found purchase intent varied materially by panel provider across three industrial-scale vendors. That signal does not surface when you only run the cuts you planned upfront.
Ask what is most different. The AI agent reads crosstabs at the cell level from statistical profiling already on your data. Researchers connect data and ask questions in one motion, then interpret the story for leadership, brand, innovation, or clients.
Data Table Studio launches at IIEX Amsterdam. Join the waiting list for early access to ranked crosstabs, quant and coded qual together, and AI at the table level — on your own research.
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
Post Fieldwork Workflow Comparison
Crosstab requests -> wait -> scroll -> repeat.
You drown in tables. Blind spots accumulate. Time and cost compound.
Build banners, find key drivers, uncover clusters, all from raw data on day one.
Capability 01
People do not exist in one dataset. AddMaple connects surveys (CSV/SAV), reviews, support conversations, transcripts, internal systems, and behavioral data so teams can see the full picture across disconnected data.
Capability 02
Most teams lose momentum in prep and handoffs. AddMaple turns raw, multi-source inputs into an explore-ready workspace from day one so you can focus on decisions, not processing cycles.
Capability 03
When NPS drops, churn rises, or engagement shifts, AddMaple ranks the strongest drivers behind the change. Move from "what happened" to "why it happened" and "what to do next" with evidence you can defend.
Capability 04
Convert open text from surveys, support, reviews, and transcripts into traceable themes and sentiment linked to structured data. Every finding links back to the exact excerpt so insight remains auditable.
If it can't link back to the verbatim, it doesn't count as insight.
Capability 05
Understand how opinions connect across segments, channels, and moments in time. Click into any response pattern to compare what the same people say elsewhere, including multi-select behavior and follow-on context.
Capability 06
Unlike generic copilots, AddMaple's agent runs on top of our statistical and chart engines to produce editable pivots, charts, and dashboards. Results are explainable, reproducible, and traceable back to source evidence.
Capability 07
Turn your analysis into a branded, interactive microsite where stakeholders can explore the story behind the data, guided by your narrative, supported by charts, and enhanced with optional AI Q&A.
Instead of sending another static deck, you give teams a place to ask follow-up questions, slice the data for their own decisions, and export editable PowerPoint charts when they need to take action.
Your insight doesn't stop at the presentation. It keeps working for the organisation.
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 is built for insight mining as a continuous cycle - during the analysis and ongoing in the deliverables. Read the case study
Multiple Data Sources
One workspace for connected understanding
Surveys
Online Reviews
Social Signals
Data lake
Cloud Storage
Trackers
Trusted in academia
Built for rigorous thematic analysis: used in peer-reviewed research to code large open-text datasets into auditable themes.
Who it's for
If your team needs to find insights, explain what is happening, and prove what to do next, AddMaple helps turn analysis into evidence your stakeholders can act on.
CX teams
Unify NPS, support, reviews, and conversation data to identify friction, prioritise action, and track whether changes are improving customer experience over time.
Insights teams
Connect surveys, trackers, and open feedback to uncover patterns, understand drivers, and deliver stronger, evidence-backed recommendations.
People teams
Connect employee experience tools, people systems, and workplace signals to understand what employees are experiencing and measure whether interventions are working.
Employee experience & OD consultancies
Use AddMaple after the survey closes to turn survey exports, comments, and employee segments into client-ready dashboards, debrief views, and editable charts.
Built for teams turning disconnected data into action
For CX, insights, and people teams unifying multi-source feedback and data into decision-ready outputs.
Replaces disconnected analysis workflows with one connected, evidence-linked system.
AddMaple is deployed based on your workflows, data complexity, and scale - from small teams to global research organisations.
Need answers fast?
Get quick help on what AddMaple can do and how teams typically use it.
Built for security-conscious CX, insights, and people teams with clear AI boundaries, enterprise access controls, and safe integration patterns.
Customer data stays private and is not used to train foundation or AddMaple models.
AI is explainable, tied to a proprietary statistical engine, and includes column-level controls with visible evidence paths.
Google SSO and enterprise SSO are supported for secure team access control.
Connect to governed sources and analyze without creating risky data sprawl.
GDPR aligned, ICO registered, ISO27001-aligned practices, with CAIQ support for security reviews.
Publish with private links and password protection so stakeholders can access insights safely.
See it live
Find the patterns, explain the drivers, and share evidence your stakeholders can trust.
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