Explore Tasks
Evaluate a communications or change campaign against its objectives
A sponsor receives evidence of whether people understood and changed behaviour after a change, with corrective actions.
4jobs do it
3jobs help with it
35skills it needs
- Communications Officer
- Communications Lead
- Change Analyst
- Change Lead
- Communications Manager
- Change Manager
- Head of Communications
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 quality-checking survey instruments
- Statistical power and sample size
- Designing and appraising samples
- Evaluating experimental results and integrity
- Writing evidence-led findings and auditable recommendations with their limits
- Controlling disclosure risk in shared data and outputs
- Designing decision-oriented research with customers, users or employees
- Interpreting customer feedback and qualitative evidence
- Evaluating employee experience evidence responsibly
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
Skill Path
Experimentation and Causal Impact Evaluation
Answer "did it work" with randomised experiments where possible and quasi-experimental methods where not.
- Modules
- 5 open
- Practice data
- Raket Parts
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 soonProduct and Digital Behaviour Analytics