Explore Tasks
Design and calibrate lead scoring and routing rules for the marketing-to-sales handoff
Marketing and sales leadership receive documented fit and engagement scoring, qualification thresholds and routing rules, tested against conversion outcomes, with an agreed follow-up service level and a change log.
1job does it
3jobs help with it
36skills it needs
- Marketing Operations Lead
- Marketing Operations Manager
- Revenue Operations Lead
- Head of Revenue Operations
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
- Statistical power and sample size
- Preparing leakage-resistant ML data
- Monitoring model fitness and drift
- Working through stakeholder conflict over evidence and responsibility
- Designing and weighting rule-based scoring models
- Recognising and resolving ethical conflicts in data and AI work
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
Customer, Revenue and Sales Analytics
Analyse pipeline, forecast quality, segments and lifetime value from CRM and billing data.
- Modules
- 5 open
- Practice data
- Raket Parts
Coming soonProduct and Digital Behaviour AnalyticsMachine Learning: from Data to Validated Models and Decisions