High-yield PMI-PBA review for key rules, traps, decision cues, formulas, and final-week reminders.
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Use this as your last-mile PMI-PBA® review. Pair it with the Syllabus for coverage and Practice for speed.
For official exam format and policy details, see Overview.
Business analysis in one picture (from need → value)
flowchart TD
A["Define the business need"] --> B["Plan BA approach + stakeholders"]
B --> C["Elicit + analyze requirements"]
C --> D["Model + validate + prioritize"]
D --> E["Trace + manage change"]
E --> F["Evaluate outcomes + benefits"]
F --> B
When multiple answers look plausible, choose the one that:
clarifies outcomes and constraints first
selects a fit-for-purpose technique
produces testable, traceable requirements
supports governance decisions with evidence
Requirement types (keep these straight)
Type
What it answers
Example
Business requirement
“Why?”
Reduce onboarding time by 30%
Stakeholder requirement
“What does a stakeholder need?”
Branch staff need fewer manual steps
Solution requirement (functional)
“What must the solution do?”
Auto-populate customer data from CRM
Solution requirement (nonfunctional)
“How well / under what constraints?”
P95 response time < 2 seconds
Transition requirement
“What enables the change?”
Train staff; migrate legacy data
Elicitation technique selection (fast)
Technique
Use when
Watch-outs
Interviews
deep expertise; sensitive topics
bias, leading questions
Workshops
alignment + fast discovery
dominant voices, groupthink
Observation
real workflow matters
Hawthorne effect; privacy
Surveys
breadth; many stakeholders
shallow answers; sampling bias
Document analysis
existing policies/processes
“paper vs reality” gap
Prototyping
reduce ambiguity fast
prototype mistaken for final scope
Best-answer pattern: pick the technique that reduces the biggest uncertainty given time/constraints.
Modeling toolbox (what to pick)
Model
Best for
Output
Process map / BPMN (light)
workflow clarity
steps, roles, handoffs
Data model (conceptual/logical)
entities + relationships
entities, attributes, keys
Decision table / tree
complex business rules
conditions → outcomes
Use case
interaction flows + exceptions
main + alternate flows
User story + acceptance criteria
incremental delivery
“who/what/why” + testable checks
Story map
scope + sequencing
backbone + slices/releases
Model quality checks
consistent names across artifacts
exceptions covered (alternate flows)
business rules explicit (not implied)
NFRs not forgotten (security/performance/usability)
Requirements quality checklist (exam-useful)
Good requirements are:
Unambiguous: one interpretation; terms defined
Complete: includes actors, conditions, exceptions
Feasible: achievable within constraints
Verifiable: you can test it; has thresholds/examples
Consistent: no contradictions across artifacts
Traceable: links to objectives and tests
Common “bad requirement” words: fast, easy, user-friendly, seamless, adequate, robust (unless you define measurable thresholds).
Prioritization methods (know what each optimizes)
Method
Optimizes for
Good when
MoSCoW
clarity of must-haves
time-boxed delivery
Weighted scoring
transparent trade-offs
many stakeholders
Pairwise ranking
forcing choices
priorities are disputed
Value vs effort
speed and learning
incremental delivery
Best-answer pattern: define criteria first (value, risk, compliance, effort), then prioritize.
Traceability + change control (the “impact analysis” muscle)