EPI study plan

Map each of the eight exam domains to its percentage weight and identify the three highest-weighted domains to prioritize in weeks 1-3

Define performance improvement governance structures by writing a one-page comparison of steering committee, PMO, and department-level ownership models

Draft a measurement hierarchy that links strategic aims, departmental objectives, process measures, and individual metrics

Build a personal glossary of 25 core EPI terms (e.g., KPI, baseline, benchmark, operational definition) with one-sentence definitions in your own words

Construct three fully specified performance measures using numerator, denominator, data source, owner, frequency, and target

Apply a process mapping technique (SIPOC or swimlane) to a real or realistic process and label each step as value-added, necessary non-value-added, or waste

Calculate baseline, target, and stretch target for one process using at least two data points and state the assumptions behind each

Identify two measurement pitfalls (e.g., gaming, drift, small denominators) in your own draft measures and revise them

Diagnose root causes for one process bottleneck using a fishbone diagram and a five-whys chain that reaches a systemic cause

Compare three continuous improvement methodologies (PDSA, Lean, Six Sigma) by their core logic, typical tools, and best-fit problem types

Design a PDSA cycle for a small process change, specifying the prediction, data to collect, and decision rule for adopt, adapt, or abandon

Redesign one process flow to remove at least two identified wastes and document the before-and-after cycle time estimate

Select appropriate basic statistics (mean, median, proportion, run chart rules) for three different measure types and justify each choice

Interpret a run chart or control chart for special-cause variation using at least three signal rules

Build a small data collection plan that specifies sampling method, sample size rationale, and data quality checks

Explain how analytics supports decision-making by writing a short data story that moves from question to evidence to recommended action

Assess stakeholder influence and interest for a planned improvement and plot at least eight stakeholders on a power-interest grid

Draft a change communication plan with audience, key message, channel, timing, and feedback mechanism for three stakeholder groups

Identify two sources of resistance to change and match each with a specific engagement tactic grounded in a change model

Write a one-paragraph vision statement for an improvement initiative that connects the change to organizational culture and patient or customer value

Apply a data visualization checklist to two draft charts, correcting misleading axes, missing denominators, or unclear labels

Identify the ethical risks in three measurement scenarios (e.g., cherry-picking, survivorship bias, privacy breach) and state the control that mitigates each

Summarize the compliance obligations relevant to improvement work, including data privacy, consent, and reporting integrity

Conduct a risk register exercise for one improvement project with at least five risks scored by likelihood and impact

Integrate governance, change management, and measurement into a single improvement charter for a realistic initiative

Define decision rights and escalation paths for the charter, naming who approves scope, resources, and measure changes

Anticipate two sustainability risks after the project ends and specify the control plan and owner for each

Review your week 1 governance map and revise it based on what you have learned about culture and stakeholder dynamics

Complete a timed 40-question mixed practice set weighted to the exam blueprint and log your accuracy by domain

Re-teach the three weakest domain concepts from memory using a blank page and compare against your notes

Build a one-page formula and framework sheet covering measurement, methodology selection, and ethics controls

Write a personal exam-day strategy that allocates time per question and sets a rule for flagging and returning to uncertain items