Root Cause Analysis
Investigate the conditions behind a recurring problem, distinguish containment from corrective action, and check outcomes without assuming one final cause.
The broader field encompassing the techniques and processes of collecting, organizing, analyzing, and interpreting data to discover useful insights and support decision-making. Data analytics includes several subtypes such as descriptive, diagnostic, predictive, and prescriptive analytics. It leverages tools from statistics, machine learning, and data visualization, and is widely used across industries to improve efficiency, strategy, and performance.
Investigate the conditions behind a recurring problem, distinguish containment from corrective action, and check outcomes without assuming one final cause.
Use repeated why questions to trace possible causes, check the evidence for each connection, and branch when one explanation is not enough.
Recognize a new question or use as a scope change, assess its impact, and record who accepts the revised deliverable, deadline, and evidence requirements.
Identify who can affect an analysis or be affected by its use, distinguish decision authority from impact, and agree on communication each person needs.
Use a proxy metric as a stand-in for an outcome that is hard to measure, state the link it relies on, and stop treating activity as the result.
See how who ends up in a dataset, and who declines to answer, can shift a result in ways a larger sample does not fix, and what to report instead.
Tell a blank from a zero, ask why a value is missing before filling it, and see why imputation cannot create an observation that was never made.
Understand measurement error as the gap between a recorded value and what happened, arising from instruments, people, definitions, and processing.
Tell quantities from numeric labels and ordered ratings, and use qualitative evidence as a source of hypotheses rather than as a frequency nobody measured.
Understand exploratory data analysis as looking at counts, keys, blanks, ranges, and groups to learn a dataset’s structure before choosing what to compute.
Gap analysis compares a current state with a desired state, measures the gap in absolute and relative terms, and investigates causes before choosing a fix.
Understand Problem Domain and Scope through clear definitions, worked examples, and the conditions needed to interpret a business measure.
Understand Operational Definition through clear definitions, worked examples, and the conditions needed to interpret a business measure.
Understand Primary Metric and Guardrail Metric through clear definitions, worked examples, and the conditions needed to interpret a business measure.
SaaS provides access to a provider’s cloud applications. Understand the settings consumers control and their remaining integration, data, and access responsibilities.
Understand Baseline through clear definitions, worked examples, and the conditions needed to interpret a business measure.
Understand Output and Outcome through clear definitions, worked examples, and the conditions needed to interpret a business measure.
A use-case brief connects an idea to a bounded trial by naming who it helps, the problem, the intended outcome, and the evidence needed to decide.
Understand Cannibalization through clear definitions, worked examples, and the conditions needed to interpret a business measure.
Understand Overstock % through clear definitions, worked examples, and the conditions needed to interpret a business measure.
Understand Stockouts through clear definitions, worked examples, and the conditions needed to interpret a business measure.
Understand Lead-Gen Software through clear definitions, worked examples, and the conditions needed to interpret a business measure.
Understand Supplier Constraints through clear definitions, worked examples, and the conditions needed to interpret a business measure.
Understand Long Lead Times through clear definitions, worked examples, and the conditions needed to interpret a business measure.
Understand Slow-Moving SKUs through clear definitions, worked examples, and the conditions needed to interpret a business measure.
Understand SKU through clear definitions, worked examples, and the conditions needed to interpret a business measure.
Real-time inventory tracking updates stock as events arrive. See how duplicate or missed events distort counts and how on-hand and available quantities differ.
Understand supplier management: what the work covers, how to define supplier performance measures, and how to track exceptions and corrective actions.
Understand Reorder Point (ROP) Optimization through clear definitions, worked examples, and the conditions needed to interpret a business measure.
Understand Safety Stock through clear definitions, worked examples, and the conditions needed to interpret a business measure.
Understand Backorder Rate through clear definitions, worked examples, and the conditions needed to interpret a business measure.
Understand Lost Sales Value through clear definitions, worked examples, and the conditions needed to interpret a business measure.
Understand Fill Rate through clear definitions, worked examples, and the conditions needed to interpret a business measure.
Understand Stockout Rate through clear definitions, worked examples, and the conditions needed to interpret a business measure.
State an expected benefit with assumptions and a way to check whether it occurs.
Check whether the proposed change can work with available information, authority, and operating support.
Ask about experience without embedding a preferred answer or an untested assumption.
Separate time spent doing work from the full interval between a defined start and finish.
Trace a workflow through triggers, decisions, handoffs, waiting, and usable outcomes.
Investigate current tasks, users, barriers, and assumptions before committing to a solution.
Define an actor, situation, bounded task, and useful result before choosing a solution.