Connected data
Bring surveys, reviews, support, interviews, trackers, open ends, and behavioural data into one workspace.
IIEX North America
Welcome IIEX Conference Attendees
AddMaple connects fragmented signals into one workspace so you can understand what's happening, why it's happening, and what to do next.
How to Vote
Why vote AddMaple?
The future of insights is not just faster answers.It is answers teams can trust.
AddMaple connects fragmented customer data, reveals the patterns, and makes every AI-assisted insight explorable and traceable.
So teams get the evidence, the context, and the confidence to act.
Explorable patterns
Reveal relationships, drivers, significance, and patterns your team can question instead of just accept.
Evidence-backed AI
Use AI to explain what matters while every answer stays traceable to the data behind it.
Vote AddMaple for explainable, evidence-backed decisions.
People don’t exist in one dataset
Customers, employees, and users leave signals across many places.
- Surveys
- Reviews
- Support conversations
- Community channels
- Internal systems
- Behavioural data
AddMaple helps teams uncover hidden patterns within a dataset then connect those patterns across sources to see the full picture, make better decisions, and track whether change is working.
Built forCXInsightsPeopleTeams & Agencies
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
Connected understanding workflow
Most teams still analyze split signals in silos
Separate tools -> disconnected findings -> slower decisions.
Fragmented analysis cycle
- Signals stay split by team, tool, and channel
- Analysts stitch exports manually to answer new questions
- Findings are reviewed source-by-source
- Static outputs hide cross-signal relationships
- Root causes remain unclear
- Each new question restarts the cycle
Teams miss the full picture. Blind spots compound.
AddMaple connected workflow
- Connect surveys, support, reviews, transcripts, and systems
- Auto-transform into one explore-ready workspace
- Explore segments, outcomes, and themes across connected signals
- Use explainable AI and statistical tests to validate findings
- Move from what happened to why and what to do next
- Share decision-ready outputs with traceable evidence links
Connect the dots, align teams faster, and track whether change is working.
Capabilities for connected understanding
Capability 01
Connect signals across every source
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
Start with answers, not data prep
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
Understand what is driving outcomes
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
Turn feedback into structured, usable insight
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
Explore how people think, not just what they said
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
AI that runs analysis you can trust
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
Be the person who makes insight usable across the organisation.
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.
A better way to code open ends
Use AI for speed, and keep your team in the loop for control.
AddMaple can code open-ends automatically when you need a fast read, while also supporting an augmented workflow for teams that need rigour, nuance, and an audit trail.
AI generates codes, you refine the framework, AI applies it at scale, and your team can review, adjust, and re-code.
Step 1
AI proposes the code frame
Start fast by letting AI generate themes from the full set of open-ended responses.
Step 2
You refine the meaning
Merge, rename, split, and sharpen codes so the framework matches the research question.
Step 3
AI applies the approved codes
Scale your refined framework across every verbatim with consistent classification.
Step 4
Review, adjust, and re-code
Inspect examples, tune the code frame, and have AI re-code with the improved definitions.
Always traceable
Every theme links back to the original verbatim.
Codes are not detached labels. AddMaple keeps the evidence visible with source excerpts and clear highlighting, so you can check why a response was coded the way it was.
Human reviewAI coding confidenceNo hallucination
“The going back and forth, understanding how the coding was working gave me real confidence in the AI and that it was not hallucinating in what it was producing.”
Dan, Shed Research
Case-study quote with highlighted proof points
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
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.
Who it's for
Built for CX, insights, and people teams
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.
NPSSupportReviewsConversations
CX teams
Understand what's driving customer experience and fix it
Unify NPS, support, reviews, and conversation data to identify friction, prioritise action, and track whether changes are improving customer experience over time.
SurveysTrackersOpen feedbackDrivers
Insights teams
Move from reporting results to explaining what they mean
Connect surveys, trackers, and open feedback to uncover patterns, understand drivers, and deliver stronger, evidence-backed recommendations.
EXPeople dataWork signalsImpact
People teams
See the full employee experience and improve it
Connect employee experience tools, people systems, and workplace signals to understand what employees are experiencing and measure whether interventions are working.
Built for teams turning disconnected data into action
Connect the dots and ship decisions faster.
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?
Ask AddMaple's AI guide about workflows, capabilities, and setup.
Get quick help on what AddMaple can do and how teams typically use it.
Security and AI trust
Visit Trust CenterBuilt for security-conscious CX, insights, and people teams: clear AI boundaries, enterprise access controls, and safe integration patterns.
Your data is never used to train AI
Customer data stays private and is not used to train foundation or AddMaple models.
Controlled AI
AI is explainable, tied to a proprietary statistical engine, and includes column-level controls with visible evidence paths.
Enterprise SSO support
Google SSO and enterprise SSO are supported for secure team access control.
Secure data lake integrations
Connect to governed sources and analyze without creating risky data sprawl.
Enterprise compliance posture
GDPR aligned, ICO registered, ISO27001-aligned practices, with CAIQ support for security reviews.
Secure sharing controls
Publish with private links and password protection so stakeholders can access insights safely.
See it live
Ready to turn analysis into action?
Find the patterns, explain the drivers, and share evidence your stakeholders can trust.
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