Are Companies More Productive Letting Employees Work from Home?

What the research actually says about working from home productivity

The question of whether working from home increases or decreases productivity does not have a single answer. The research is genuinely mixed, and the honest framing is: it depends.

Three findings emerge consistently across the major research streams. First, U.S. Bureau of Labor Statistics data across 61 private-sector industries found a positive association between remote work adoption and total factor productivity (TFP) growth during 2019 to 2022. Second, some firm-level studies conducted during the pandemic found short-run productivity declines, particularly in roles requiring close collaboration or mentorship. Third, individual outcomes vary significantly by task type, household situation, and management quality.

What this data suggests is that businesses are not merely transitioning to a working-from-home model. They are settling into one, adopting technologies that will serve them for the long-term.

ZoomInfo, an all-in-one AI GTM Platform, tracks technology adoption signals across the market, and its platform signals on the rapid increase in adoption rates of remote-work tools during this period confirm the same structural shift the macro data reflects.

The three statistics below, drawn from pre-pandemic and early-pandemic research, established the baseline case for remote work productivity benefits:

• 13% increase in productivity among call center employees allowed to work from home (Stanford University)

• 100% more time was spent discussing non-work-related topics by in-office employees compared to remote workers (Airtasker)

• 91% of employees reported feeling more productive when working from home (TinyPulse)

These numbers tell part of the story. The fuller picture requires looking at what the longitudinal and peer-reviewed research has found since.

The productivity research landscape: what studies show

Working from home productivity research has matured considerably since the early pandemic period. Three major research streams now offer a more complete view.

The BLS macro analysis examined 61 private-sector industries over three years and found that industries with higher remote work adoption saw stronger TFP growth. This is the broadest dataset available and suggests the productivity benefits of remote work are real at the aggregate level, even if individual firm experiences vary.

Great Place To Work's longitudinal study tracked 1.3 million employees across four years (2019 to 2025) and found productivity nearly 42% higher at Fortune 100 Best Companies, 97% of which support remote or hybrid work. The study also surfaced a specific cooperation multiplier: employees who believe colleagues will cooperate are 8.2 times more likely to give discretionary effort, and this holds equally for remote and co-located teams (Great Place To Work, 2024).

A peer-reviewed study using the Job Demands-Resources (JD-R) model, based on 343 survey responses and published in PMC (2024), found that WFH has no statistically significant direct effect on well-being. Instead, its impact operates through two competing pathways: family-work conflict (negative) and job engagement (positive). Net productivity depends on which pathway dominates for a given individual.

The table below summarizes the three research streams:

The pattern across all three streams is consistent: remote work does not automatically increase or decrease productivity. The variables that matter are cooperation norms, leadership quality, task type, and an individual's ability to manage the boundary between work and family life.

Why working from home affects people differently

Two forces shape your WFH productivity: demands (family-work conflict, social isolation, blurred boundaries) and resources (schedule autonomy, eliminated commute, job engagement). Your net productivity depends on which side dominates.

The Job Demands-Resources model provides a useful diagnostic framework for understanding why remote work produces such different outcomes across individuals and teams.

WFH demands vs. resources:

On the demands side, family-work conflict is the primary negative mediator identified in the PMC research. When work and home responsibilities bleed into each other without clear boundaries, well-being suffers and productivity follows. Social isolation compounds this: remote workers lose the ambient social contact that co-located work provides without replacing it deliberately.

On the resources side, schedule autonomy is the most powerful offset. Remote workers who control their own hours can align deep work with peak cognitive hours, eliminate commute time entirely, and structure their day around actual output rather than presence. Job engagement, the second major resource, acts as a buffer: workers who find their work meaningful are more likely to experience WFH as energizing rather than isolating.

The socialization finding from Fast Company research is worth noting here: performance increased by 20% for workers who spent just 15 minutes socializing with coworkers. Remote work does not eliminate the need for social contact; it requires workers to build it deliberately rather than passively.

Research published in PMC identifies work-family balance self-efficacy, an individual's confidence in managing both work and family responsibilities, as a trainable moderator that determines whether WFH exacerbates or neutralizes family-work conflict. This is not a fixed personality trait. It can be developed through deliberate practice and organizational support.

The "remote work paradox" (Great Place To Work, 2024) captures the tension well: remote work can simultaneously increase employee engagement while decreasing well-being. Workers may be more productive but less healthy, which is unsustainable long-term. Interventions should target the mediators, boundary-setting skills and engagement-building practices, rather than treating remote work itself as the problem.

How managers sustain remote team productivity

Individual habits matter, but Great Place To Work's four-year study found that poor leadership is the primary killer of remote productivity, not the home environment itself.

Five specific manager behaviors consistently distinguish high-performing remote teams from struggling ones:

1. Replace activity monitoring with output-based performance metrics. Surveillance erodes the schedule autonomy that drives job engagement, which is the primary resource in the JD-R model that offsets WFH demands. When managers track keystrokes or online status instead of outcomes, they signal distrust and undermine the conditions that make remote work productive.

2. Establish explicit async communication norms in writing. Agree on response-time expectations within your team channel so remote workers are not always on-call. Ambiguity about availability creates the "always on" pressure that blurs work-life boundaries and increases demands without adding resources.

3. Run structured virtual check-ins with clear agendas. Unstructured meetings waste time and create anxiety. Structured check-ins with defined topics and outcomes build cooperation and give remote team members the context they need to work independently between sessions.

4. Create recognition rituals for remote contributions. Visibility of effort matters more when physical presence is absent. Remote workers who feel their contributions go unnoticed are more likely to disengage, and disengagement is the primary mechanism through which remote work damages well-being.

5. Grant schedule autonomy within output expectations. Autonomy is the primary resource in the JD-R model that offsets WFH demands. Setting clear output expectations while allowing flexibility in how and when work gets done gives remote employees the control they need to manage competing demands.

The cooperation data from Great Place To Work (2024) makes the stakes concrete: 84% of employees at Fortune 100 Best Companies say they can count on colleagues to cooperate, compared to 65% at typical workplaces. Employees who feel this cooperation are 8.2 times more likely to give discretionary effort.

The implication is direct: cooperation, not co-location, is the primary driver of remote team performance. Managers who invest in building cooperation norms get more from remote teams than managers who invest in monitoring or mandating office presence.

Working from home productivity tips: individual and team actions

The research points to specific behaviors that improve remote work outcomes. The following action plan is organized by who needs to act.

Individual-level actions:

1. Set a hard-stop end time and use a shutdown ritual. Close all tabs, write tomorrow's top three tasks, and physically leave your workspace. The shutdown ritual signals to your brain that work is done and prevents the boundary erosion that drives family-work conflict.

2. Design your own deep-work schedule. Identify your peak cognitive hours and protect them for focused work. Remote work gives you the schedule autonomy to do this; most people do not use it deliberately.

3. Choose your optimal work environment within the home. A separate physical space signals "work mode" to the brain and reduces the blurred-boundary demands identified in the JD-R model.

4. Build in social contact deliberately. A study cited in Fast Company found 20% performance gains from just 15 minutes of coworker socialization. Remote work does not eliminate the need for connection; it requires you to schedule it.

5. Develop work-family balance self-efficacy. Treat boundary-setting as a trainable skill, not a fixed trait. Research published in PMC identifies this confidence as the key moderator that determines whether WFH exacerbates or neutralizes family-work conflict.

Team-level actions:

1. Agree on async response-time norms in writing within your team channel. Ambiguity about response expectations is one of the most common sources of "always on" pressure in remote teams.

2. Establish shared availability windows for synchronous collaboration. Protect a core overlap period when the full team is reachable, and protect the rest of the day for focused individual work.

3. Document decision-making processes so remote team members are not excluded from context. Decisions made in informal conversations are invisible to people who were not present. Write them down.

4. Create regular virtual check-ins with structured agendas. Structured check-ins build the cooperation norms that the GPTW data identifies as the primary driver of remote team performance.

Manager and org-level actions:

1. Replace activity monitoring with output-based performance metrics. This is the single highest-leverage change a manager can make for remote team performance, per the JD-R model and GPTW research.

2. Invest in cooperation-building rituals. The 8.2 times effort multiplier from GPTW data shows that cooperation is the highest-ROI management investment available. Recognition rituals, structured check-ins, and transparent communication norms all compound over time.

3. Address compensation transparency. BLS data (2019 to 2022) found that productivity gains associated with remote work adoption across 61 private-sector industries did not translate into increased hourly compensation for workers. Unit nonlabor costs decreased, but wages did not rise proportionally. This gap erodes trust over time and, if unaddressed, undermines the engagement that makes remote work productive in the first place.

What this means for go-to-market teams

For go-to-market teams, the shift to remote and hybrid work created a specific operational challenge: how do you maintain pipeline visibility, campaign coordination, and sales-marketing alignment when your team is distributed?

The same variables that determine individual remote work productivity, cooperation norms, shared context, and access to the right information at the right time, also determine whether distributed GTM teams can execute at the speed the market requires.

ZoomInfo, an all-in-one AI GTM Platform, was built around this problem. Its platform rests on three foundations: comprehensive B2B data, the GTM Context Graph intelligence layer, and universal access across any tool or workflow.

The data foundation covers 500M contacts and 100M companies, with 1.5B+ data points processed daily. For distributed teams, this matters because it provides a shared source of truth that does not degrade when people are not in the same office. Sales and marketing can build audiences, prioritize accounts, and measure outcomes against the same underlying data, regardless of where they are working.

The GTM Context Graph processes signals across CRM data, conversation intelligence, and behavioral patterns to surface why deals move, not just what happened. Remote sellers and marketers can act on the same intelligence without being in the same room. When a deal stalls or an account goes cold, the reasoning layer surfaces what changed, so distributed teams can respond with the same speed a co-located team would have.

Through GTM Workspace, GTM Studio, and APIs and MCP, teams access that intelligence in whatever tool they already use. There is no requirement to change workflows or consolidate into a single platform. The intelligence travels to where the work happens.

For marketing teams specifically, the platform's impact on distributed execution is measurable: see how Smartsheet increased MQLs by 84% and opportunity rates by 26% after deploying ZoomInfo's marketing capabilities across their distributed team.

Request a demo to see how ZoomInfo helps distributed GTM teams stay aligned.

Frequently asked questions

Does working from home increase or decrease productivity?

Research is mixed, and the honest answer is that it depends on several variables. BLS data across 61 private-sector industries shows TFP growth was positively associated with remote work adoption during 2019 to 2022. Great Place To Work's four-year study found productivity nearly 42% higher at top remote-friendly companies. However, some firm-level studies found short-run declines, particularly in collaborative or mentorship-intensive roles. The key moderating variables are task type, leadership quality, cooperation norms, and work-family balance self-efficacy.

What does research say about working from home productivity?

Three major research streams define the current state of working from home productivity research. BLS macro TFP data across 61 industries (2019 to 2022) shows a positive association between remote work adoption and productivity growth. A PMC peer-reviewed study using the JD-R model (343 responses, 2024) finds WFH has no direct effect on well-being, with its impact mediated through family-work conflict (negative) and job engagement (positive). Great Place To Work's longitudinal study of 1.3 million employees (2019 to 2025) finds cooperation is the primary driver of remote productivity, with an 8.2 times effort multiplier for employees who trust colleague cooperation.

What are the biggest challenges to productivity when working from home?

The key challenges are family-work conflict (blurred work-life boundaries), social isolation, poor leadership and lack of trust, and absence of structured cooperation norms. The PMC JD-R model identifies family-work conflict as the primary negative mediator of WFH on well-being. Work-family balance self-efficacy, an individual's confidence in managing both work and family responsibilities, is a trainable moderator that determines whether WFH exacerbates or neutralizes these challenges. Developing this skill, rather than avoiding remote work, is the more effective intervention.

What are the best working from home productivity tips?

The highest-impact individual working from home productivity tips are: set a hard-stop end time with a shutdown ritual, design your deep-work schedule around peak cognitive hours, and build in deliberate social contact (research shows 20% performance gains from 15 minutes of coworker socialization). Treat work-family boundary-setting as a trainable skill, not a fixed trait. At the team level, establish async communication norms in writing and run structured check-ins. At the manager level, replace activity monitoring with output-based performance metrics, which is the single highest-leverage change available for remote team performance.

How does remote work affect employee well-being?

WFH's effect on well-being is not direct. Per PMC peer-reviewed research using the JD-R model, it operates through two competing pathways: it worsens well-being by increasing family-work conflict, and improves it by boosting job engagement. This creates a "remote work paradox" (Great Place To Work, 2024) where workers can be more productive but less healthy simultaneously. Interventions should target the mediators, boundary-setting skills and engagement-building practices, rather than WFH itself. Distributed marketing teams that address these dynamics with the right platform support can achieve strong pipeline results, as Smartsheet increased MQLs by 84% after deploying ZoomInfo's capabilities across their distributed team.

Did remote work productivity gains translate to higher pay for workers?

BLS data (2019 to 2022) found that productivity gains associated with remote work adoption across 61 private-sector industries did not translate into increased hourly compensation for workers. Unit nonlabor costs decreased, but wages did not rise proportionally, suggesting employers captured most of the productivity gains. Separately, randomized firm-level experiments found remote work reduced job turnover as job satisfaction rose, which substantially reduced firms' hiring costs. This makes WFH a cost-containment strategy for employers beyond just a productivity play, and the compensation gap it creates is a trust risk that managers should address proactively.