Enablement
Live program snapshot

AI Enablement Experience Survey: project hub

Annual internal survey measuring AI usage, enablement satisfaction, and fiscal year 2027 (FY27) priorities across a global Marketing and Communications (M&C) function. Survey lead: AI and Marketing Transformation Manager.

Year
Year 3 (third consecutive annual survey)
Field period
11 days (Sep 28 to Oct 9)
Classification
Confidential (not anonymous)
Status
Live and in field; results to follow
The problem
Planning next year's AI enablement needed real input from a 2,000+ person function across 50+ countries.
What I did
I'm leading the third annual survey end to end: the framework, the questionnaire, multi-jurisdiction legal approvals, and the launch campaign.
The result
A live snapshot: the survey is in field through October 9, with all Works Council approvals cleared. Results to follow.
Overview

Project overview

2,000+
Target respondents
50+
Countries
13
Survey questions
Project detail
Survey nameAI Enablement Experience Survey
YearYear 3 (third consecutive annual survey)
ClassificationConfidential (not anonymous)
Auth methodSingle sign-on (SSO) with pre-loaded demographic data
Est. completion~7 minutes
PlatformIncumbent internal survey vendor
Field period11 days (Sep 28 to Oct 9)

Core objectives

  • Measure current AI usage across M&C
  • Assess quality of enablement experience to date
  • Identify barriers and unmet needs
  • Capture engagement channel preferences
  • Shape FY27 enablement investment priorities
  • Recruit active participants for FY27 initiatives

Project team

Managing Director
Executive Sponsor: final sign-off authority
Associate Director
Senior Stakeholder: AI enablement
AI and Marketing Transformation Manager (Survey Lead)
End-to-end program management, legal coordination, comms strategy, roster management, project hub ownership
Associate Manager
Communications drafting and execution: internal social, company newsletter, champion network
Insights and Intelligence Team (x2)
Platform owner and roster management (cross-functional partners)
Global Data Privacy Reviewer
Final approval for AI sentiment analysis

Project status

Live Survey live and in field: September 28 to October 9, 2026. Snapshot as of early October; results to follow.

WorkstreamStatusNotes
QuestionnaireComplete13 questions finalized, platform configured
Participant RosterComplete2,000+ records, 31-column structure, all fields populated
Works Council ApprovalsAll cleared4 approvals covering 6 EU countries, one with scoped coverage
Employment LegalClosedFull approval received
Data Privacy (DP)Privacy notice sentIncludes sentiment analysis paragraph and a carve-out for the scoped jurisdiction
Global Privacy Review: Sentiment AnalysisPendingSole remaining open legal item
CommunicationsLiveAll channels active for field period
Framework

Survey framework

The measurement framework organizes 13 questions across four thematic pillars.

  1. Pillar 1

    AI usage

    Establishes baseline on current adoption and identifies who is using AI, how, and what is preventing broader uptake.

    Current AI tool usage · Barriers to adoption (multi-factor matrix) · Impact on day-to-day work

  2. Pillar 2

    Enablement experience

    Measures satisfaction with resources, guidance, and support provided to date.

    Overall enablement satisfaction · Quality of resources and training · Confidence to apply AI in role

  3. Pillar 3

    Engagement and channels

    Captures channel preferences and forum engagement patterns to optimize FY27 delivery.

    AI adoption journey stage · Forum engagement frequency · Channel preference by format

  4. Pillar 4

    FY27 priorities

    Forward-looking: surfaces what employees want more of, and identifies volunteers for active participation.

    Priority investments for FY27 · What to keep, strengthen, or cut · Interest in active involvement

Methodology notes
DecisionRationale
Confidential, not anonymousEnables demographic segmentation (function, level, market, region) while maintaining trust with full privacy notice disclosure
SSO authentication + pre-loaded rosterEliminates self-selection error in demographic fields; participant only answers survey questions
Sentiment analysis on open text (post-collection)LLM-assisted thematic aggregation of free-text responses; anonymized before reporting; disabled for respondents in one scoped jurisdiction per Works Council requirements
Contractors includedConsistent with scope definition; tagged separately in demographic data
13 questions (down from 14)Audience sub-function question removed; estimated 7-minute completion time
Questions

Survey questions

13 questions across four pillars. Open-text fields carry a data handling disclaimer.

Pillar 1: AI usage

  1. Which of the following AI tools have you used in the past 3 months for work-related tasks?

    Multi-select · Options: [Tool categories redacted] + None / I don't know what these tools are

  2. How has AI impacted your day-to-day work?

    Single select · 5-point scale: Significantly improved to Significantly worsened + No impact + I haven't used it

  3. What is preventing you from using AI more in your role? Rate each barrier on a scale of 1 to 5.

    Matrix (sliding scale) · Barriers: Awareness, Access, Skills/Training, Time, Trust/Confidence, Relevance to my work, Leadership support + Other (open text)

Pillar 2: Enablement experience

  1. Overall, how would you rate your AI enablement experience so far?

    Single select · 5-point scale: Excellent / Good / Neutral / Poor / Very Poor + N/A (no exposure)

  2. How often have you engaged with AI learning and enablement activities in FY26?

    Single select · 7 options: Weekly / Biweekly / Monthly / Quarterly / On Demand Only / Rarely / Never

  3. How confident are you in your ability to apply AI tools in your current role?

    Single select · 5-point scale: Very confident to Not at all confident

Pillar 3: Engagement and channels

  1. Where are you in your AI adoption journey?

    Single select · Stages: Exploring / Building foundational skills / Experimenting in my role / Actively using / Developing expertise / Unsure

  2. What types of content or learning experiences have been most valuable to you?

    Multi-select · Options: Live sessions, On-demand modules, Peer showcases, How-to guides, Use case libraries, Leadership spotlights, None + Other (open text)

  3. What is your preferred format for receiving AI enablement content?

    Multi-select · Format options + channel options

  4. How often would you like to engage with each of the following enablement forums?

    Matrix · 6 forums × 7 cadence options: Weekly / Biweekly / Monthly / Quarterly / On Demand Only / No Preference / Discontinue

Pillar 4: FY27 priorities

  1. What should be the top AI enablement priorities for FY27? Select up to 3.

    Multi-select (max 3) · Options: Role-specific use cases, Tool access and licensing, Skills training, Peer learning networks, Executive engagement, Recognition programs, Other (open text)

  2. If we could only keep or strengthen TWO things in FY27, what should they be, and what should we stop, reduce, or consolidate?

    Open response, optional · Disclaimer applies

  3. Where would you like to be actively involved to make AI enablement more relevant, accessible, or useful?

    Open response, optional · Examples: testing tools, sharing use cases, pilots, reusable assets, automation opportunities, AI champion for your team · Disclaimer applies

Legal approvals

Legal approvals tracker

Multi-jurisdiction compliance across Works Council, Employment Legal, and Data Privacy review streams.

Status All Works Council approvals cleared. Employment Legal fully closed. Global privacy review of sentiment analysis is the sole remaining open item.

Works Council approvals: 4 approvals covering 6 EU countries. Jurisdictions anonymized.
JurisdictionStatusScope / notes
Market AApprovedAll in-scope M&C participants included
Market B (three-country group)ApprovedAll three markets confirmed by a single Works Council representative
Market C (scoped)Approved (scoped)Approval covers specific legal entities only; remaining entities excluded from the participant list. Sentiment analysis disabled for all respondents in this group.
Market DApprovedConfirmed after follow-up
Global legal reviews
Review typeReviewerStatusNotes
Employment Legal ReviewLegal Counsel (Employment)ClosedFull approval received Sep 17
Data Privacy Review (Survey)Data Privacy TeamSubmittedSubmitted via internal ticket Sep 3; privacy notice finalized and sent to platform owner Sep 25
Global Privacy Review: Sentiment AnalysisGlobal Data Privacy ReviewerPending manager sign-offSole remaining open item. Platform compliance confirmed (existing legal clearances cover the AI processing method). Awaiting final reviewer approval.
Key legal decisions
DecisionOutcome
Confidential vs. anonymous classificationConfidential. Demographic data pre-loaded from roster via SSO; participants do not self-select. Privacy notice discloses this fully.
Sentiment analysis disclosureStandalone paragraph added to privacy notice covering: AI classification, thematic aggregation, anonymization, prohibition on use for employment decisions, explicit carve-out for the scoped jurisdiction.
Scoped jurisdiction exclusionQuantitative responses included for all participants. Sentiment analysis (open-text AI processing) disabled. Qualitative review manual only.
Raw data deletionPlatform confirmed: raw response data can be deleted post-aggregation. Required by Data Privacy reviewer. Agreed.
Contractor inclusionIncluded. Tagged as Contractor in the HR system's demographic field.
Launch plan

Launch plan

Phased communications and activation plan across a 5-week window: pre-launch, field period, and close.

Key dates

  1. Sep 14Pre-launch awareness begins: knowledge board post live(done)
  2. Sep 25Updated privacy notice sent to platform team for configuration(done)
  3. Sep 28Survey launches: all comms channels activate(done)
  4. Oct 5 to 7Mid-survey reminder push (Day 10 to 12)(upcoming)
  5. Oct 9Survey closes(upcoming)
  6. Post-closeSentiment analysis (excluding the scoped jurisdiction). Reporting.(upcoming)
Channel ownership
ChannelOwner
Leadership email (from MD)Survey Lead (drafts) / MD (sends)
Internal social platform postsAssociate Manager
Company newsletter submissionAssociate Manager
Team messaging platformAssociate Manager
SharePoint tileSurvey Lead
Sub-function leader engagementSurvey Lead (via MD email)
Phase 1: Pre-launch awareness (Sep 14 to 27)
ChannelMessage
Internal Knowledge Board"Coming soon" awareness post: survey opening Sep 28, more details to follow.
Leadership EmailMD sends to sub-function leaders: context, objectives, ask for amplification.
Phase 2: Launch day (Sep 28)
ChannelMessage
Internal Social PlatformLaunch post with survey link, 7-minute ask, representation-led framing ("How should we enable AI in FY27?").
Company NewsletterSubmission live on launch day. Feature framing: "Your input shapes FY27 AI enablement."
Team MessagingTeam-level message with direct link and short context.
Phase 3: Mid-survey reminder (Day 10 to 12)
ChannelMessage
Internal Social PlatformReminder post with response rate encouragement (no specific number until confirmed).
Company NewsletterSecond submission if response rate warrants additional push.
Phase 4: Final push (Oct 8 to 9)
ChannelMessage
Internal Social PlatformFinal reminder: "Last chance: survey closes tomorrow."
Team MessagingClosing push from team leads if response rate below target.
Campaign communications

Campaign communications

Messaging strategy, framing direction, and key language decisions.

Selected direction: representation-led framing (Option B). Rationale: positions the survey as a mechanism for employee voice rather than a top-down measurement exercise, which is more aligned with the program's intent and more likely to drive response rates.

Headline and framing
ElementDecision
Primary headline"How should we enable AI in FY27?" Used for newsletter launch.
FramingRepresentation-led: your voice shapes the plan, not "tell us how we're doing"
TerminologyThe program's approved term for AI tools, used consistently across all materials
Function referenceOne approved abbreviation for the function, used consistently across all materials
ToneDirect, concise, outcome-focused. No corporate filler. No em dashes.
Leadership email (sample language)Sent from MD to sub-function leaders ahead of launch. Drafted by Survey Lead.
"The FY27 Q1 M&C AI Enablement Experience Survey opens [date]. This is year three of the survey, and the results directly shape our enablement investments for the year ahead. I'm asking you to take the survey and encourage your teams to do the same. [Survey link] It takes about 7 minutes. Thank you."
Internal social post (sample language)Launch day post on internal social platform. Drafted by Associate Manager, approved by Survey Lead.
"The M&C AI Enablement Survey is live. How should we enable AI in FY27? Your input shapes the plan. Takes 7 minutes. [Link] Open through Oct 9."
Terminology standards
Use thisNot thisApplies to
The program's approved AI termMixed terms (AI, GenAI, Gen AI)All materials
The function's approved abbreviationVariant spellingsAll materials
ConfidentialAnonymousLegal and privacy communications
Enablement experienceTraining, L&DSurvey framing

Portfolio note: All drafts above reflect actual campaign language with company-identifying details removed. The communications plan was produced as a Word document deliverable and maintained across multiple revision cycles. A detailed execution briefing was also produced for the Associate Manager joining the team mid-project, covering all channel ownership, deadlines, and approval protocols.