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Forensic Analysis·2 Apr 2026·12 min read

Time impact analysis vs windows analysis: which one does your dispute need?

These are the two method names everyone reaches for, frequently interchangeably and frequently wrongly. They answer different questions, need different records, and fail in different ways. Picking the wrong one wastes money at best; at worst it hands the other side their cross-examination.

Two names, one persistent confusion

Sit in enough dispute meetings and you will hear "we'll do a TIA" used to mean almost any analysis involving schedule updates, and "windows" used to mean almost any analysis divided into periods. The confusion is understandable — both methods work through the project chronologically, both lean on the contemporaneous schedules — but it is worth dispelling, because the two sit on opposite sides of the most important fork in the AACE 29R-03 taxonomy.

Time impact analysis is a modelled method. It builds something: delay fragnets inserted into a schedule, with the CPM engine forecasting the consequence. Windows analysis is an observational method. It builds nothing: it reads the schedule updates the project actually produced and measures what they already show. One predicts; the other reports. Everything else about them — their records appetite, their cost, their reception in tribunals — follows from that single difference.

Time impact analysis: the modelled forecast

TIA is MIP 3.7 in AACE terms — modelled, additive, multiple base — and one of the SCL Protocol's six listed methods. The mechanics are conceptually clean. For each delay event: take the schedule update current at the time the event arose; build a fragnet (a small network of activities representing the event — the late instruction, the redesign, the rework — with its own logic and durations); insert the fragnet into the update; recalculate; and read the movement of the completion date. That movement is the impact of the event, assessed with the knowledge available at the time.

TIA in one picture: insert the fragnet, let CPM do the arithmetic 1 · Update current at the event A B C Day 180 2 · Fragnet inserted, recalculated A B fragnet C Day 205 +25d 3 · Modelled impact: +25 working days (indicative) → EOT claimed Three activities for clarity; real fragnets carry their own logic, durations and resources — and get attacked on all three.
Fig 1. The TIA mechanism. The answer is only as honest as the fragnet and the schedule it lands in — which is where the cross-examination concentrates.

TIA was designed as a prospective tool, and that is where it is strongest: an EOT application submitted while the project is live, assessing an event that has just occurred, using the schedule everyone was managing by at the time. Many standard forms effectively assume this is how extensions will be assessed. Used this way, contemporaneously, TIA is hard to better.

Its weakness arrives with hindsight. Run retrospectively, after completion, a TIA produces the theoretical impact each event would have had — which can diverge embarrassingly from what actually happened. The contractor may have resequenced around the event; the predicted 25-day slip may have materialised as six; other delays may have overtaken it entirely. The SCL Protocol's 2nd edition is explicit in its caution about retrospective TIA for exactly this reason: a tribunal asked to award delay that the as-built record shows never occurred tends to ask awkward questions. Analysts call this the hindsight problem, and it cuts both ways — the model can overstate impact the project absorbed, and understate impact the project compounded.

Fragnet quality: where TIAs are won and lost

The fragnet is the whole case in miniature, and it is built entirely from analyst judgement: how many activities represent the event, what durations they carry, where they tie into the network, and which existing logic they displace. Each judgement is contestable, and experienced opposing experts contest all of them. A fragnet whose durations trace back to contemporaneous records — the actual dates on the revised drawings, the actual procurement quotes — survives. A fragnet whose durations trace back to "professional judgement" exercised four years later does not, particularly when the professional exercising it is paid by the party the judgement favours.

The schedule receiving the fragnet matters just as much. Inserting an immaculate fragnet into an update with broken logic, dangling activities and a constraint holding the completion date is an exercise in garbage-in: the engine cannot transmit the impact through a network that doesn't calculate. This is the unglamorous reason quality checks come before forensic work — a schedule that fails the critical-path test in the DCMA 14-point assessment is structurally incapable of supporting a TIA, whatever the fragnet looks like.

Windows analysis: the observational record

Windows analysis — the SCL's time slice windows, AACE's observational dynamic family (MIP 3.3 as-is, MIP 3.4 with causes split) — works the other way round. Divide the project into windows, normally bounded by the update data dates. For each window: take the update at the start and the update at the end, identify the critical path in each, measure how much completion moved across the window, and then go to the contemporaneous records — diaries, progress photos, correspondence, instructions — to attribute that movement to causes.

Window by window: where the delay actually accrued (indicative) Employer Contractor Recovery +6 +12 −4 +8 W1 · to 31 Mar W2 · to 30 Jun W3 · to 30 Sep W4 · to 31 Dec Net critical-path movement across all windows: +22 working days Movement measured between successive data dates; attribution from contemporaneous records, not assertion.
Fig 2. A four-window summary. The per-window attribution is the whole point: delay is located in time and tied to causes while the evidence is still warm.

Windows analysis is retrospective and evidence-led, and after the fact it is generally the more robust of the two: it measures delay that demonstrably occurred, in the periods it occurred, on the critical path the project was actually running. There is no hindsight problem because hindsight is the method — the analysis is a structured reading of what the project recorded about itself. It also surfaces things additive models politely ignore: contractor culpability sits in the same windows as employer delay and cannot be edited out; recovery shows up as negative movement; and concurrency tends to appear naturally when two causes drive the same window, rather than waiting for someone to plead it.

Its appetite is the catch. Windows analysis needs a full set of credible contemporaneous updates — honestly statused, logically sound, consistently maintained. Updates that fail basic structural quality checks cannot carry it, and gaps in the sequence force the analyst into the modified-or-recreated territory of MIP 3.5, where every reconstruction is a new argument. If your update discipline was poor, no retrospective heroics will fix it.

Watch the window boundaries. Where windows start and end is an analyst choice, and it can be gamed — boundaries drawn to split one party's delay across several windows so it never dominates any of them, or to merge a culpable period into a window where the other side's event conveniently shines. Gerrymandered windows are a recognised attack vector: expect opposing experts to re-run the analysis with boundaries at every data date and compare. The defensible default is boring — use the update cycle the project actually ran, and justify any departure in writing.

Side by side

DimensionTime impact analysisWindows / time-slice
Best timingProspective — live EOT applicationsRetrospective — after the period in dispute
BasisModelled forecast: fragnets inserted, CPM recalculatedObserved record: movement read from actual updates
Records neededUpdate current at each event + well-built fragnetsFull, credible set of contemporaneous updates + cause records
Relative costHigh per event; scales with event countHigh up front; scales with window count and record volume
Tribunal receptionStrong contemporaneously; guarded when retrospective (SCL 2nd ed caution)Generally strong retrospectively, if the updates hold up
Main attack vectorFragnet quality; theoretical impact vs as-built realityUpdate credibility; window boundary selection
LabelsAACE MIP 3.7; SCL "time impact analysis"AACE MIP 3.3/3.4; SCL "time slice windows"

Which one does your dispute need?

Neither method is cheap, and neither is proportionate to every dispute — a point the SCL Protocol makes explicitly. A TIA's cost scales with the number of events to be modelled; a windows analysis scales with the number of windows and the volume of records behind each attribution. On a modest final-account row, both can cost more than they recover. But where the claim justifies the work, strip away the branding and the choice usually makes itself.

The hybrid case is the common one: a contractor who submitted TIAs during the project now faces a retrospective dispute. Those contemporaneous TIAs are not wasted — they evidence what the parties believed at the time, which matters to entitlement under many forms. But expect the tribunal to want the retrospective question answered retrospectively, with a windows analysis reconciling forecast against outcome. Where the two agree, your case is formidable. Where they diverge, far better that your own expert explains the divergence than the other side's.

Key takeaways

Would your updates survive a windows analysis?

Drop a P6 XER or MS Project file in your browser and see whether your baseline and updates are structurally fit to carry a forensic analysis — every check, every offending activity, in seconds. Nothing is uploaded.

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