Advanced Experience Intelligence Specialist
From signals to decisions
Integrate customer, employee and operational information, analyze patterns with AI support and guide evidence-based action.
Learn through
a case from your work.
Graduates who have passed WIT’s Customer & Employee Experience Specialist program.
Passing level 1 is mandatory
Successful completion of WIT’s Customer & Employee Experience Specialist program. Work experience or a certificate of attendance does not replace this requirement.
Explore level 1 →Modules that build
your final project.
Each stage produces a concrete deliverable. Sessions combine concepts, application and progress reviews.
01Weeks 1–2Design an Experience Intelligence system
Business questions, decisions, sources, owners and use cases.
DeliverableAnalytical brief and case architecture.
02Weeks 3–4Data integration and quality
Surveys, reviews, conversations, CRM, EX and operational data. Units of analysis, coverage, duplicates and traceability.
DeliverableSource inventory, data dictionary and quality assessment.
03Weeks 5–6Experience analytics
Segmentation, trends, topics, sentiment, emotions, associated factors and differences between groups.
DeliverableDocumented analysis and findings with their limitations.
04Weeks 7–8Applied AI and human oversight
Classification, synthesis, analysis instructions, validation samples, errors and bias.
DeliverableAI-assisted analysis workflow and validation protocol.
05Weeks 9–10From findings to action
Prioritization, alerts, owners, follow-up, dashboards and executive communication.
DeliverableAction model and decision dashboard.
06Weeks 11–12Impact measurement and governance
Comparisons, experiments, attribution, privacy, results review and continuity.
DeliverableFinal case, impact evaluation plan and defense.
Tools to
put into practice.
- Analytical brief and case architecture.
- Source inventory, data dictionary and quality assessment.
- Documented analysis with findings and limitations.
- AI-assisted analysis workflow and validation protocol.
- Action model and decision dashboard.
- Final case and impact evaluation plan.
An evidence-based decision
A complete case connecting a business question, sources, preparation, analysis, a validated finding, a recommended decision, action and measurement. It can build on the previous level’s project.
Use authorized information. If you use simulated data, label it explicitly and document the limitations of the case.
Show what you know.
Apply what you learn.
To pass, you need a minimum score of 80/100, at least 80% attendance and completion of all required assignments, the project and its defense.
Traceability, validation of AI results, distinction between association and causation, and identification of coverage and quality limitations are mandatory. Unsupported conclusions must be corrected before passing.
Attendance alone does not qualify you for certification. Participants who do not pass may receive a certificate of participation. This is a private certification issued by WIT.
Assessment breakdown
Let’s discuss
your path.
We review your goals and explain the format, schedule, time commitment and fees before you sign up.
Ask about this program
Tell us what you want to develop and the role or company you would participate from.
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