What you'll learn
- What a Four-Day Workweek Pilot Is Actually Testing
- Designing the Pilot: Scope, Duration, and Baseline Measurement
- The Work Redesign Step Most Pilots Skip
- Measuring Results and Making a Real Go/No-Go Decision
A four-day workweek pilot sounds simple to run and is deceptively easy to run badly: announce a shorter week, let anecdotal impressions accumulate for a few weeks, and end up with a story that's either uncritically positive or quietly abandoned with no real evidence either way. The model that actually works — commonly called 100-80-100, full pay for 80 percent of the time with full output expected — only functions if it's paired with genuine work redesign that removes a fifth of the low-value work, and it only produces a credible answer if success is defined in specific, measurable terms before the pilot begins, not decided retroactively based on whichever metrics happen to look favorable afterward. This guide covers what the 100-80-100 model actually requires, how to set a real baseline and adequate pilot duration, the work redesign step most companies skip and pay for later, and how to measure and report results honestly enough that the resulting go/no-go decision actually holds up to scrutiny.
What a Four-Day Workweek Pilot Is Actually Testing
Quick answer
The most common four-day workweek model, often called 100-80-100, offers employees 100 percent of their existing pay for 80 percent of their previous working time, with the explicit expectation of maintaining 100 percent of prior output. This is a fundamentally different proposition than simply compressing five days of work into four longer days (a schedule some companies already offer under a different name), and it's worth being explicit with employees and leadership about which version is actually being piloted, since the two produce very different experiences and very different evaluation criteria.
The genuine business case for a four-day week under the 100-80-100 model rests on the idea that a meaningful share of a standard workweek is low-value activity — unnecessary meetings, context-switching, low-priority busywork — that can be eliminated through deliberate work redesign, producing the same output in less time rather than requiring people to simply work faster or harder to compress the same volume into fewer days. If a pilot skips this redesign step and just removes a day while leaving all existing meetings, processes, and workload volume unchanged, it isn't actually testing the 100-80-100 model — it's testing whether people can compress five days of unchanged work into four, which is a different and considerably less sustainable proposition.
Be clear internally about which specific problem the pilot is meant to address — retention and recruiting differentiation in a competitive labor market, genuine productivity gains from eliminating low-value work, or employee wellbeing and burnout reduction — since the metrics that matter and the definition of success shift depending on which goal is primary. A pilot run with a vague, undifferentiated goal of 'seeing how it goes' produces anecdotal impressions rather than evidence that can support a real go/no-go decision afterward.
Designing the Pilot: Scope, Duration, and Baseline Measurement
Quick answer
Run the pilot with a defined, adequate duration — most credible published four-day week trials run a minimum of three to six months, since shorter pilots capture only the initial novelty effect (employees and teams putting in extra effort specifically because they know they're being observed and evaluated) rather than a steady-state read on whether the model actually works once it becomes routine. A two-week pilot tells you almost nothing useful about whether the model is sustainable.
Establish clear, quantified baseline metrics before the pilot begins, not after — specific productivity or output measures relevant to the team or function being piloted (tickets closed, deals progressed, projects delivered, whatever is the most legitimate output measure for that specific work), current engagement and burnout survey scores, and current meeting load or time-tracking data if available. Without a documented baseline, any post-pilot comparison is anecdotal by default, since there's no rigorous before-and-after reference point to actually evaluate against.
Decide whether to pilot broadly across the whole company or narrowly within a specific function or team, and be aware of the tradeoffs either way. A narrow pilot within one function is easier to measure cleanly and lower-risk if it doesn't work out, but it can create real friction with cross-functional teams and external stakeholders (clients, partners) who now need to coordinate with a team operating on a different schedule. A company-wide pilot avoids that cross-team friction but is harder to isolate and measure cleanly, and it's a bigger commitment to reverse if the outcome is genuinely mixed.
Most four-day workweek pilots fail to produce a usable answer because they never define, in writing, what success actually means before the pilot starts — a company that runs the pilot, feels good about it anecdotally, and then can't point to any specific metric that moved has learned nothing it can defend to skeptical leadership.
The Work Redesign Step Most Pilots Skip
Quick answer
Before removing a day from anyone's schedule, run a deliberate audit of existing meetings, processes, and low-value recurring work with the specific goal of identifying what can be eliminated, shortened, or made asynchronous. Teams that skip this step and simply announce a shorter week discover, predictably, that all the same meetings and deliverables still need to happen, and the missing day's work simply compresses into longer remaining days or bleeds into personal time on the day off — which produces a compressed-overtime outcome rather than the genuine hours reduction the pilot was supposed to test.
Give teams explicit permission and structured time, before the pilot begins, to actually redesign their own workflows — which recurring meetings can be cut or shortened, which approval chains can be streamlined, which reporting or documentation can be simplified or eliminated. This work is most credible and most durable when done by the people closest to the actual work, not imposed top-down by a general efficiency mandate with no specific guidance on what to cut.
Set explicit expectations about availability and communication norms on the fifth day off — is the employee genuinely unreachable, similar to a weekend day, or is there an expectation of being reachable for genuine emergencies. Ambiguity here is one of the most common ways a four-day week pilot quietly fails in practice: an employee who's nominally off but still checking Slack out of habit or unstated obligation isn't actually experiencing a reduced-hours week, regardless of what the official schedule says, and the pilot's actual measured outcome will reflect that gap between policy and practice.
Measuring Results and Making a Real Go/No-Go Decision
Quick answer
Compare the same specific productivity and output metrics established as the pre-pilot baseline, not a different or more favorable set of metrics chosen after the fact because they happen to show a positive result. A pilot that measures ticket volume as its baseline and then reports success using a customer satisfaction score instead, without explaining why the metric changed, invites exactly the skepticism that undermines the pilot's credibility with leadership who weren't already believers in the model.
Re-run the same engagement, burnout, and wellbeing survey questions used for the baseline at the pilot's midpoint and conclusion, and be honest about mixed results rather than only highlighting the positive findings in the final readout. A pilot that shows genuine productivity maintenance but only modest wellbeing improvement, or strong wellbeing improvement with a real (even if small) productivity cost, is a legitimate and useful finding — it's more valuable to leadership as an honest, nuanced result than an artificially uniform positive story that doesn't hold up to scrutiny once the model is rolled out more broadly and the honest tradeoffs become visible anyway.
Solicit structured feedback specifically from managers, not just individual contributors, about whether team output and quality genuinely held up, and from customers or cross-functional partners if the pilot affected external-facing work or cross-team dependencies. Manager perspective is particularly important because managers are positioned to notice output quality issues that might not show up immediately in raw output volume metrics — a team that maintains the same number of deliverables but with declining quality is not actually a productivity-neutral outcome, even though a pure volume metric would suggest otherwise.
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InCruiter Editorial Team
AI Hiring Research · Interview Intelligence · Enterprise Talent Strategy
The InCruiter editorial team covers AI-driven hiring, interview intelligence, and modern talent acquisition strategy. Our guides draw on platform data from 2,000+ hiring teams, conversations with talent leaders, and published research in industrial-organizational psychology.
