AI Adoption Research · Survey Measurement · Customer Insights

Margarita Bermejo Cano

Dublin, Ireland · English & Spanish

People Science
& Analytics.

I turn people data into decisions leaders can trust.

I combine psychometrics, people analytics and AI-adoption research to turn employee and customer evidence into practical recommendations.

R-first analysis · Clear recommendations · English & Spanish

00 / Skills & live projects

How I turn people data into decisions leaders can trust.

Six capabilities I use together. Select one to highlight the case studies and live projects where it shows up.

R R ML Machinelearning AI AI readiness “ Storytelling S Surveys &mixed methods C Causalmethods

Pick a skill

Use the nodes (or Tab and Enter) to explore. Live projects open in a new tab.

01 / Selected work

Research, analytics & measurement.

Analysis of selected AI-adoption and people-science studies at Microsoft, customer-facing retention insight at LinkedIn Glint and end-to-end measurement at MetLife. Each case shows the question, my contribution and the delivered output, with methods available to explore. Confidential findings and customer details are omitted.

Showing 3 of 8 examples

01 / AI RESEARCH2025

Microsoft

Agentic AI readiness, teaming & trust

Led analysis for selected studies within an enterprise research programme; co-author of the full four-chapter public report.

Question
What evidence helps organisations understand readiness for and adoption of agentic ways of working?
My contribution
Led selected study analyses within the research programme, producing in-depth reports using factor analysis, regression, comparative and descriptive methods.
Delivered output
An analytical report series and co-authorship of the full 2025 Agentic Teaming & Trust Research Report.
Study-level analysisApplied researchFull-report co-author

Published research programme

Methods & interpretation
Interpretation
The public study surveyed 1,800 full-time employees across nine markets. Among agent users, leadership role-modelling was associated with higher reported value from agents (p. 15). This highlights leadership practices alongside tool access, but does not establish causality.
Want to discuss this kind of work?Get in touch
02 / CUSTOMER ANALYTICS2019–2022

LinkedIn Glint

Engagement drivers and attrition risk

Linked employee feedback and behavioural data to inform customer recommendations on engagement and attrition risk.

Question
Which engagement signals are associated with disengagement and attrition risk?
My contribution
Built linked-data analyses combining employee surveys and behavioural information; interpreted relative-risk and key-driver findings with customer-facing teams.
Delivered output
Engagement-priority and retention-risk recommendations for senior customer stakeholders, informed by linked survey and behavioural data.
Customer analyticsRelative-risk analysisEngagement drivers

Customer analytics workstream

Methods & interpretation
Analytical approach
Used engagement-driver findings to frame customer engagement priorities and risk comparisons to support discussions about disengagement and attrition.
Interpretation
Risk associations identify patterns to investigate; they do not establish that changing an engagement factor will prevent attrition.
Want to discuss this kind of work?Get in touch
04 / MEASUREMENT PROGRAMMES2015–2019

MetLife

EMEA HR shared-services satisfaction

Full-lifecycle ownership of a regional customer-satisfaction survey.

Question
How can a regional HR service understand the experience it provides?
My contribution
Led requirements and survey design, implementation, analysis and reporting for the EMEA HR Shared Services customer-satisfaction programme.
Delivered output
A regional survey and reporting approach, with service-improvement recommendations for HR Shared Services stakeholders.
Survey designProgramme implementationService insights

End-to-end measurement programme

Want to discuss this kind of work?Get in touch
Further work / 5 examples
03 / AI RESEARCH2023–2024

Microsoft

Organisational AI-readiness measurement

Led the study's analysis of AI-readiness measurement and associated factors.

Question
Are we measuring organisational AI readiness reliably, and what factors are associated with it?
My contribution
Led the instrument's measurement analysis using exploratory and confirmatory factor analysis, reliability testing and item analysis.
Delivered output
Measurement and relationship analyses referenced in The state of AI change readiness eBook.
PsychometricsReliabilityRelative weight analysis

Measurement study

Methods & interpretation
Analytical approach
Examined how survey items grouped and their internal consistency before analysing readiness associations through regression, correlation and relative weight analysis.
Interpretation
Structure and reliability tests address aspects of measurement quality, not all forms of validity. Associated-factor analyses do not establish causal effects.
Want to discuss this kind of work?Get in touch
05 / AI RESEARCH2023–2024

Microsoft

Early AI-assistant adoption research

From the first findings report to a sustained enterprise AI survey-reporting cycle.

Question
What do early users tell us about adopting an enterprise AI assistant?
My contribution
Co-produced the first findings report as one of two analysts, monitoring responses, comparing respondent populations and reviewing data quality; then maintained recurring analysis with research partners.
Delivered output
Initial findings and recurring reports, including quarterly reporting. Survey insights featured in public workplace research and conference presentations.
Survey analyticsRecurring reportingResearch partnership

Recurring research workstream

Methods & interpretation
Interpretation
Recurring reporting is not automatically a longitudinal panel, and early-user survey responses do not on their own establish causal productivity gains.
Want to discuss this kind of work?Get in touch
06 / CUSTOMER INSIGHTS2024–2025

Microsoft

Post-migration NPS analysis

Led Net Promoter Score (NPS) survey analysis to understand customer experience following a product migration.

Question
How did customers experience the migration, and which themes should product teams prioritise?
My contribution
Led post-migration NPS survey analysis, comparing responses across roles and service models and examining group scores, satisfaction-driver patterns and correlations.
Delivered output
Prioritised customer-experience recommendations for the product teams responsible for the migrated experience.
Customer experienceNPS analysisProduct recommendations

Customer NPS study

Methods & interpretation
Analytical approach
Used group comparisons alongside driver and correlation analyses to identify satisfaction patterns and pain points for product-team prioritisation.
Interpretation
Survey associations describe customer experience after migration, rather than isolating a causal migration effect.
Want to discuss this kind of work?Get in touch
07 / MEASUREMENT PROGRAMMES2015–2019

MetLife

EMEA employee-exit measurement

Regional delivery of a standardised exit-survey programme.

Question
How can regional teams collect and report employees' reasons for leaving consistently?
My contribution
Delivered the EMEA component of the Global Exit Survey programme, supporting a standardised approach to collecting and analysing employee-exit feedback.
Delivered output
Standardised regional exit feedback for workforce reporting and discussions of employees' reported leaving reasons.
Employee listeningExit-survey analysisRegional delivery

Supporting measurement programme

Want to discuss this kind of work?Get in touch
08 / SERVICE ANALYTICS2014

Telefónica Europe / O2

Repeat-caller and first-call-resolution analysis

Behavioural profiling to understand repeat calls to an HR shared-services team.

Question
What distinguishes repeat callers, and which service actions should be considered?
My contribution
Built a model to identify repeat-caller profiles as part of a first-call-resolution analysis and used the findings to recommend targeted actions.
Delivered output
Repeat-caller profiles and tailored service recommendations for the HR shared-services team.
Behavioural profilingService analyticsTargeted recommendations

Supporting earlier analysis

Want to discuss this kind of work?Get in touch

Beyond the case studies

Measurement & customer analytics
  • Delivered customer analytics requests with customer-facing consultants, from question scoping through analysis and explanation.
  • Assessed cross-product analysis feasibility and build-versus-leverage options for licence and usage data, clarifying requirements, availability and limitations.
  • Prototyped a combined employee satisfaction, burnout and favourability view; reviewed a 360-feedback Power BI dashboard for quality and accessibility.
Content systems & analytical craft
  • Designed and refreshed people-success content taxonomies, consolidated overlapping metrics and documented the structure for engineering handover.
  • Adapted Python notebooks and automated link checks to audit content, investigate data-quality defects and coordinate fixes with engineering.
  • Synthesised content usage and performance evidence into recommendations for people science and product stakeholders; coordinated content upload, testing and release.
Sharing knowledge & working with others
  • Contributed to an organisation-wide AI skilling working group and provided data support to a cross-team hackathon project.
  • Authored practical inclusion guidance and delivered internal talks on setting inclusion priorities.
  • Served as a team inclusion representative and co-organised a team belonging event.
02 / Public research

Three publications. Shared contributions.

Co-author / research analyst / Microsoft People Science / 2025

2025 Agentic Teaming & Trust Research Report

Co-authored the full four-chapter report on agentic AI readiness, people-centric practices, trust and human–agent teaming. Led analysis for selected studies within the research programme.

Read the full report
1,800

Full-time employees across nine markets in the published study.

Led analysis for selected studies within the agentic AI research programme.

Co-author of the full four-chapter report.

The state of AI change readiness

Contributing analyst / 2024. Led underlying survey-measurement and associated-factor analyses referenced in the eBook.

Read the eBook

Early LLM-based Tools for Enterprise Information Workers Likely Provide Meaningful Boosts to Productivity

Co-author / 2023. Co-authored a collaborative report combining several studies of enterprise information-worker productivity; contributed to early-user survey analysis.

Read the research report
03 / Career

A career built around people and evidence.

From workforce reporting and HR systems to customer analytics and AI research, the context has changed. The work still begins with understanding the problem and making the evidence useful.

Apr 2022 – present

People Science Analyst

Microsoft / Viva Glint / People Science

Led analysis for selected AI-adoption and people-science studies at Microsoft.

  • Led analysis for selected studies within an enterprise agentic AI readiness and adoption research programme; co-authored the full 2025 Agentic Teaming & Trust Research Report.
  • Led AI-readiness measurement analysis using exploratory and confirmatory factor analysis, reliability testing and item analysis; contributed underlying analyses to The state of AI change readiness eBook.
More role details
  • Co-produced the first early-access AI-assistant survey report as one of two analysts and maintained recurring reporting; survey insights featured in public workplace research and conference presentations.
  • Translated post-migration Net Promoter Score (NPS) survey findings into prioritised customer-experience recommendations for product teams, comparing customer groups and satisfaction-driver patterns.
  • Extended reusable R analysis code for recurring research and documented prompts and context templates for AI-assisted analytical planning.
  • Helped modernise a recommended-action library, using performance analysis to inform licensing decisions, improve its architecture and coordinate content-quality fixes.
  • Assessed build-versus-leverage options for licence and usage data, aligning product, engineering and privacy partners on requirements and trade-offs.
  • Explored product telemetry using KQL and produced draft views; reviewed a 360-feedback Power BI dashboard for quality and accessibility.

Oct 2019 – Apr 2022

Senior People Science Analyst

LinkedIn / Glint

Customer-facing people analytics, retention insight and survey measurement.

  • Delivered key-driver analyses and recommendations to senior customer stakeholders, identifying engagement factors associated with retention.
  • Linked survey and behavioural data to examine disengagement and attrition risk, using relative-risk estimates to support customer-facing teams.
More role details
  • Tested survey-programme content and engagement-model updates using statistical and psychometric methods.

Sep 2015 – Sep 2019

Senior HR Metrics Consultant

MetLife / Workforce Analytics / EMEA

Regional workforce analytics and employee-listening programmes.

  • Led the EMEA HR Shared Services customer-satisfaction survey from requirements and design through implementation, analysis, reporting and service-improvement recommendations.
  • Partnered with senior leaders across 25 EMEA countries, translating workforce and business questions into analysis, reporting and recommendations.
More role details
  • Delivered the EMEA component of the Global Exit Survey programme, supporting standardised regional reporting on employees' reported reasons for leaving.

Dec 2014 – Aug 2015

HR Reward Analyst

AIB / Reward

Compensation benchmarking and reward reporting.

Role details
  • Delivered internal and external salary benchmarking and compensation reporting to inform reward and benefits decisions.

Jan 2012 – Dec 2014

HR Data & People Analyst / HR Advisor

Telefónica Europe / O2 / European shared services

HR Data & People Analyst, May–Dec 2014; HR Advisor, Jan 2012–May 2014.

Role details
  • Built a repeat-caller model for first-call-resolution analysis and recommended targeted actions based on behavioural profiles.
  • Identified allowance-eligibility errors in payroll and HR systems, preventing recurring overpayments; corrected a redundancy-calculation error to restore policy-aligned quotations.
  • Analysed employee surveys and service performance across European markets; presented quarterly findings to advisors and team leaders.
  • Co-built an Excel tool for TUPE data collection, coordinated organisational-change data and trained colleagues using practical guidance and question-and-answer sessions.

May – Sep 2011

HR Senior Analyst

Accenture / HR infrastructure

Workforce reporting and shared-services support / temporary contract.

Role details
  • Delivered absence and salary-comparison analysis, clarified HR reporting needs and supported the transition of services to an external HR shared-services centre.
Earlier foundations / 2006–2011

Aug 2009 – Feb 2011

Accounts Administrator

Dunnes Stores / Head office

Accounts administration and reporting / temporary contract.

Role details
  • Processed invoices, resolved supplier queries and produced accounting reports.

2008 – 2009

HR Officer / HR administration

ThirdForce / E-learning

HR reporting and operations / temporary contract.

Role details
  • Produced HR metrics and maintained reporting dashboards; built a recruitment-partner comparison report and an Excel template for year-on-year performance measures.
  • Created a digital employee handbook and supported recruitment administration, employee records and induction.

May – Dec 2007

HR & Training Administrator

Wyeth Pharmaceuticals / SAP implementation

SAP implementation and end-user enablement.

Role details
  • Coordinated SAP end-user training, developed training plans and delivered training after becoming an APO-PP super-user.

Jul 2006 – May 2007

Insurance Administrator

Mapfre / Insurance administration

Customer account administration.

Role details
  • Handled customer account queries, debt collection and repayment arrangements.
04 / Toolkit

The craft behind the insight.

Research & measurement

  • Survey design and measurement testing
  • Exploratory and confirmatory factor analysis
  • Reliability testing and item analysis
  • Regression, correlation and relative weight analysis
  • Quantitative and qualitative survey analysis
  • Key-driver and relative-risk analysis

Analytics & tools

  • R / primary analytical language
  • SQL, Python and Excel
  • KQL / Azure Data Explorer
  • Power BI / working knowledge
  • Linked-data and attrition-risk analysis
  • Reusable code and analytical automation

Business & delivery

  • AI readiness and adoption research
  • Customer and employee experience
  • Content taxonomy and data quality
  • Cross-functional options assessment
  • Stakeholder presentations and guidance
  • Research-to-decision translation
05 / How I work

Start with the question. Stay with the evidence.

Make the question answerable.

Clarify the decision, test the measurement and choose an analytical approach that fits the problem.

Make the answer useful.

Explain the findings, their limitations and the practical options—not just the statistical result.

Make the work reusable.

Build documented methods, reusable code and clear handovers so recurring work can be rerun rather than rebuilt.

06 / Background

More than one way of thinking.

Professional Diploma in Data Analytics

University College Dublin / 2018

Higher Diploma in Science in Data Analytics

National College of Ireland / 2014 / First Class Honours

Licenciatura, Labour & Human Resources

Universidad de Valladolid / 2006 / Five-year university degree

Bachelor of Business Administration (Tourism)

Universidad de Salamanca

Microsoft Certified: Azure AI Fundamentals / 2025

Let's compare notes.

For people science and analytics opportunities, research conversations or a current CV, connect with me on LinkedIn. My focus is AI adoption, survey measurement and customer insight.

Explore my GitHub projects Browse public research

For a current CV, contact me on LinkedIn. Personal application documents are not hosted on this site.