Explore Tasks
Investigate pipeline conversion and challenge the sales forecast
Sales leadership receives a stage-conversion diagnosis and an evidence-tested forecast call (commit, best case) with deals whose stage evidence is weak.
2jobs do it
7jobs help with it
49skills it needs
- Sales Operations Analyst
- Revenue Operations Lead
- Account Executive
- Key Account Manager
- Sales Manager
- Revenue Operations Manager
- Head of Sales
- Sales Director
- Chief Revenue Officer
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
- Identifying and quantifying decision downside and exposure
- Making accountable decisions under uncertainty
- Revising prior decisions when evidence changes
- Reasoning about systems, feedback and second-order effects
- Facilitating group decisions using disputed evidence
- Rating risks against appetite and choosing proportionate treatment
- Recognising and resolving ethical conflicts in data and AI work
- Estimating quantities and differences with intervals
- Forecasting operational demand at interval and site grain
- Interpreting trends and seasonality
- Judging whether a change exceeds normal variation
- Forecasting business trends and turning points for planning
- Communicating quantified uncertainty
- Building driver-based financial forecasts
- Diagnosing forecast accuracy and bias and comparing methods fairly
- Interpreting financial statements and ratios for decisions
- Analysing customer lifetime value and unit economics
- Qualifying sales opportunities with traceable evidence
- Mapping buying groups and account whitespace
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 Analytics