Core ACM Competencies 

As an adoption expert, you are expected to perform the below tasks at a senior level: 

• Capabilities assessment:  

• stakeholder mapping, persona analysis, workflow time-and-motion snapshots, enablement maturity, change risks. 

• Adoption Planning & Governance (non-technical) 

• Build 12-week adoption plan with ADKAR milestones map, sponsor roadmaps, resistance plans, reinforcement tactics, RAID log, RACI, comms & training calendar, and value tracking plan. 

• Design executive steering cadences with KPI pack & decision log. 

• Enablement & Training  

• Design persona-based curricula, with measurable learning outcomes 

• Design train-the-trainer bootcamps; with observation rubrics and pass/fail criteria. 

• Design internal champions certification materials 

• Produce ready-to-ship materials: quick start guides, “prompt recipes,” micro-videos, in-app nudges,... etc 

• Champions program 

• Design champion programs with champion charter, nomination mail template, recruitment mechanisms via manager nomination; first 30-day schedule, monthly champions scoreboards, champion activity & impact tracking, ..etc. 

• Communications & Engagement 

• Produce quarterly comms plan; maintain a content calendar; A/B test subject lines; report reach, open, CTR, and behavior lift. 

• Produce adoption narrative artifacts (why now, wins, next wave, challenges, leaderboards). 

• Produce tips artifacts: weekly short posts, bi-weekly champion spotlight, monthly town hall agendas with live demos and Q&A, FAQ drafts, launch emails 

• Content production 

• Write 1-page cheat sheets, 2-minute screen-caps, manager talk-tracks, …etc. 

• Facilitation & coaching 

• Design executive showcases, floor walks, office hours, …etc. 

• Ability to convert objections into experiments with clear next steps. 

• Feedback & support:  

• Design team inbox, surveys, office hours schedules, FAQ knowledge base, sentiment tracking mechanisms. 

• Measurement & Value Realization 

• Design live adoption dashboards (WAU/DAU, depth of use, role cohorts, training completion, help-desk deflection); with baseline capture guide. 

• Design pre/post workflow studies for priority use cases; with calculations of time saved × frequency × role count. 

• Design continuous feedback loops: surveys, office hours, shadowing, ... etc 

• Adoption analytics & Value quantification 

• Design weekly KPI packs (reach, activation, depth, retention, satisfaction, value); cohort analysis; funnel diagnostics; experiment readouts. 

• Design Pre/post measurements, counterfactuals, and ROI models 

• Scale & Sustain 

• Produce industrialized playbooks for new BUs (starter kit, checklist, templates). 

• Design transition and sustainment plans: champions incentives, refresher paths, quarterly retros. 

Core Microsoft/AI Competencies 

• AI Use-case engineering (non-technical): Facilitate workshops to decompose tasks, map prompt patterns, define acceptance tests, and assign owners; deliver a scored backlog for prioritization (RICE/ICE) and go/no-go criteria 

• Articulate AI Transformation business value, map to business KPIs and baselines, capture pilot results, maintain a value register, and craft exec-ready narratives linking signals to outcomes. 

• Persona & workflow analysis: Build “day-in-the-life” task inventories; run time-and-motion studies; convert to AI transformation workflow with Pre/post measurement plan (baseline source + target metrics). 

• Drive Prompt Pattern Labs and produce prompt “recipes” mapped to the customer’s context, a “good→better→best” prompt ladder and lab handouts. 

• Analytics: Pull from M365 Admin Center usage/adoption, Adoption Score category measures, Viva Insights aggregated behavior signals, and Forms surveys to triangulate reach, activation, depth, and behavior change. Maintain a KPI dictionary with thresholds and experiment guardrails 

• Knowledgeably articulate principle of AI Safety, author acceptable-use and safe-prompting guidelines; run short user safety briefs. create a risk register (data leakage, hallucination), an incident comms playbook, and quick drills. 

• Socialize Microsoft Responsible AI principles (fairness, reliability & safety, privacy & security, inclusiveness, transparency, accountability). Embed in training/comms with clear escalation paths. 

Core Consulting Competencies 

• 7–10+ years in enterprise ACM with Microsoft 365; 2+ years in short-format consulting (workshops/accelerators). 

• Demonstrated ability to produce assets same-day: backlogs, labs, comms, KPI scaffolds. 

• Ability to rapidly scope and tailor engagement set to constraints (time, role mix, data access). 

• Multi-industry exposure; comfort switching contexts multiple times per week. 

• Facilitate exec and practitioner discussions; keep decisions moving with visible timers, parking lot, and a decision log. 

• Facilitation & objection handling: Convert “AI fear/quality/safety” into experiments with owners and dates; keep rooms outcome focused.