Explore Tasks
Plan and evaluate a consent-aware CRM lifecycle intervention
Marketing leadership receives a permitted lifecycle intervention plan with measures and an evaluation.
3jobs do it
2jobs help with it
53skills it needs
- Marketing Executive
- Marketing Operations Lead
- Marketing Lead
- Marketing Operations Manager
- Marketing 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
- Designing and validating digital analytics event measurement
- Setting and reviewing action thresholds for scores and model predictions
- Interpreting averages, weighted measures and mix effects
- Reading business metrics
- Writing data quality rules
- Interpreting correlation without inferring cause
- Designing experiments
- Estimating and challenging causal effects
- Evaluating ML generalisation and fitness
- Assessing lawful basis, purpose compatibility and minimisation for data reuse
- Analysing staged funnels: conversion, time in stage and slippage
- Mapping customer journeys and evidence gaps
- Constructing and challenging customer segments
- Diagnosing digital funnel conversion from event data
- Reconstructing a record's state at a point in time from history and audit trails
- Challenging probability-weighted sales forecasts
- Measuring campaign outcomes with valid denominators
- Building cohort and retention analyses with correct denominators
- Locating and acting on personal data for individual rights requests
- Enforcing and auditing data access
- Recognising personal data and privacy duties
- Applying data classification and handling rules
- Assessing privacy risk through data protection impact assessments
- Designing testable data controls
- Controlling disclosure risk in shared data and outputs
- Recognising and containing suspected personal data breaches
- Resolving consent and suppression status across systems
- Mapping personal data processing and flows
- Interpreting policy scope and delegated authority limits
- Building data protection by design into data products and pipelines
- Interpreting trends and seasonality
- 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
- 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
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
Data Preparation: Cleaning, Repair and Reconciliation
Check whether a table is fit for the job, then clean, repair and reconcile it with the evidence to back it.
- Modules
- 5 open
- Practice data
- Raket Parts
Skill Path
Privacy, Security and Access for Data and AI
Protect personal data and access with impact assessments and incident evidence.
- Modules
- 5 open
- Practice data
- Raket Parts
Coming soonProduct and Digital Behaviour Analytics