Explore Tasks
Assess data and AI capability gaps in a function and plan their development
A Function head or L&D Manager receives a prioritised data, analytics and AI capability gap assessment with a development plan and the measures that will show whether it worked.
1job does it
7jobs help with it
37skills it needs
- Learning & Development Specialist
- Analytics Manager
- Head of Data & Analytics
- Chief Data & AI Officer
- Learning & Development Lead
- Learning & Development Manager
- Marketing Director
- Change Manager
Does itHelps with it
- Reading and tracing unfamiliar code
- Reviewing human- and AI-generated code changes for correctness and risk
- Sampling and reviewing a team's work against standards
- Diagnosing misleading data visualisations
- Verifying reports and dashboards before and after release
- Verifying AI-assisted outputs against sources
- Disclosing AI contribution to professional work
- Testing competing explanations with discriminating evidence
- Independently checking analytical conclusions and claims
- Escalating unresolved risks with evidence and clear ownership
- Giving specific developmental feedback on data and AI work
- Judging the materiality of defects and deficiencies for the intended use
- Interpreting trends and seasonality
- Designing experiments
- Estimating and challenging causal effects
- Defining measurable outcomes and leading indicators
- Testing, implementing and sustaining measured improvements
- Evaluating learning transfer and performance outcomes
- Designing implementable change plans
- Evaluating whether people understood, adopted and sustained a change
- Diagnosing capability gaps from work evidence and planning development
- Measuring campaign outcomes with valid denominators
- Choosing an analytical method to fit the question and data
- Weighing conflicting evidence by design strength
- Verifying benefits realisation and attribution
- Applying research ethics and participant consent
- Designing and comparing decision scenarios
- Writing evidence-led findings and auditable recommendations with their limits
- Designing auditable decision models
- Assessing data-driven fairness and bias
- Interpreting workforce metrics and populations
- Investigating workforce movement and attrition trends
- Comparing options against explicit decision criteria
- Reasoning about systems, feedback and second-order effects
- Running sensitivity and break-even analysis on model assumptions
- Modelling workforce demand and supply
- Analysing organisation structure, spans and critical-role cover
Paths that teach the skills it needs
Skill Path
Data Literacy for Business Decisions
Judge whether a business claim from a table, KPI, chart or dashboard really holds up.
- Modules
- 5 open
- Practice data
- Raket Parts
Tool Path
Excel for Analysis and Decision Models
Build and check Excel workbooks others can trust.
- Modules
- 5 open
- Runs in
- Your browser
Skill Path
Leading Analytics and AI Change
Lead adoption, diagnose learning needs, coach and assure team capability.
- Modules
- 5 open
- Practice data
- Raket Parts
Coming soonPeople and Workforce Analytics