PMI-SP Cheat Sheet

High-yield PMI-SP review for key rules, traps, decision cues, formulas, and final-week reminders.

Use this as your last-mile PMI-SP® review. Pair it with the Syllabus for the official domain map and Practice for speed.

For exam-policy details, use Overview.

Visual Guide

PMI-SP schedule control stack

A strong PMI-SP answer makes the schedule more decision-worthy, not just more polished. The usual exam flow is: logic integrity first, then resource realism, then credible status data, then forecasting, then governed change.

Domain emphasis snapshot

Domain Weight What to lock in
Schedule Strategy 14% governance, scope of the schedule system, decision thresholds
Schedule Planning and Development 31% sequencing, calendars, durations, resources, baseline development
Schedule Monitoring and Controlling 35% status quality, float/criticality, forecasting, corrective action
Schedule Closeout 6% archive quality, lessons learned, final records
Stakeholder Communications Management 14% presenting schedule truth clearly enough to drive action

Logic integrity first

Item What good looks like Weak-answer pattern
dependency logic real FS, SS, FF, or SF relationships based on work reality using arbitrary dates instead of logic
leads and lags justified by actual handoff or waiting time hiding bad logic with cosmetic lags
constraints used only when externally required date-constraining activities because planning is weak
open ends almost none in an integrated network activities with no predecessor or successor for no real reason
near-critical paths monitored like critical when exposure is high tracking only one path and ignoring thin float elsewhere

Relationship quick table

Type Meaning Fast cue
FS successor starts after predecessor finishes most common handoff
SS successor starts after predecessor starts overlap begins together
FF successor finishes after predecessor finishes finish alignment matters
SF successor finishes after predecessor starts rare but still testable

Critical path and float formulas

Critical path is the longest path through the network and therefore drives the earliest finish date.
Total float is the amount an activity can slip before it pushes the project finish or a constrained milestone.

[ \text{TF} = LS - ES = LF - EF ]

When a path has very low float, treat it as near-critical even if it is not technically the current critical path.

Resource realism and schedule credibility

Topic What good schedulers do What weak schedulers do
calendars model real crews, shifts, and non-working time assume ideal availability
resource limits re-check sequence and duration after leveling or smoothing keep the same critical path story after the model changed
long-duration activities challenge them and decompose when needed leave them vague and hide risk inside them
subcontractor data align external schedules to the integrated master schedule let supplier schedules drift separately

Status data rules

If the problem is… Better rule Why it matters
inconsistent cut-off dates use one status date across the model keeps analysis comparable
subjective percent complete tie progress to observable outputs or rules of credit reduces “almost done” bias
out-of-sequence work update actuals and fix logic explicitly hidden breaks create false forecasts
stale remaining duration challenge what is still left, not just what was planned forecast quality depends on remaining work realism
narrative-only status connect claims to deliverables, quantities, or milestones schedule truth needs evidence

Baseline, forecast, and re-baseline

Artifact Use it for Wrong use
baseline measurement reference rewriting history to hide slippage
current forecast best current completion outlook pretending it is still the baseline
approved re-baseline reflect authorized scope or strategy change cleaning up avoidable execution variance

Schedule QA scan

Check Why it matters Common next action
open ends broken logic distorts float and path analysis add the missing real predecessor or successor
excessive constraints dates look clean but logic truth is hidden replace with logic where possible
unjustified lags hides risk and makes recovery harder to see convert to explicit work or valid waiting conditions
negative float signals impossible dates or broken assumptions escalate and analyze cause, not just “work harder”
unrealistic calendars false optimism contaminates all forecasts align shifts, holidays, access windows, and crews

EVM schedule signals

[ SV = EV - PV ]

[ SPI = \frac{EV}{PV} ]

Signal Interpretation Better follow-up
(SV < 0) earned progress is behind the plan inspect critical and near-critical drivers, not only totals
(SPI < 1) schedule efficiency is weak check logic, resources, and status quality before promising recovery
good SPI but unstable logic metric is not enough fix the schedule model before trusting the forecast

Fast elimination rules

  • If a choice makes the schedule look cleaner without improving logic or evidence, it is usually wrong.
  • If a change affects baseline logic, dates, or scope, govern it instead of quietly editing the file.
  • If the model is already weak, more reporting will not help until the schedule logic and status data are credible.

How to use this cheat sheet

  1. Rehearse the weak domain from the Syllabus.
  2. Use the relevant table here before you start a practice block.
  3. Do 10 to 20 questions in Practice.
  4. Turn every repeated miss into a one-line schedule rule under the matching section.
Revised on Monday, April 27, 2026