Only 46% of U.S. employees say they clearly know what their manager expects of them at work, according to Gallup’s most recent workplace research, down from a high of 56% in March 2020. Most managers assume their team understands its goals. The data says otherwise, and the gap carries a real cost: Gallup ties clear expectations to a 4x increase in employee retention and a 14x increase in how inspired people feel about their work.
That gap widens the moment a manager adds a remote hire, a freelancer, or a virtual assistant to the team. You cannot walk over to someone’s desk in Cape Town or Manila and clarify a fuzzy goal in thirty seconds. Distributed teams force a manager to write goals precisely enough to survive a time zone gap, a language difference, and the absence of hallway context. Get that right, and the same clarity benefits your in-house staff too.
This article covers what the research actually says about goal setting, where the standard SMART framework runs out of road, and how OKRs, V2MOM, and output-based tracking change once part of your team works asynchronously.
What Is an Employee Goal?
An employee goal is a defined, measurable target tied to a specific outcome, one that ladders up from a person’s day-to-day work to a team or company objective. The definition matters because most of the confusion in goal setting comes from treating a goal and a task as interchangeable. A task is an action someone completes: Send a report, attend a meeting, draft a document. A goal is the change in a measurable condition that action is supposed to produce: Cut report turnaround from five days to two, close three new accounts, raise a satisfaction score by ten points.
Goal alignment describes how an individual goal connects upward. An employee’s goal should trace a direct line back to a team goal, and a team goal should trace back to a company objective. Without that line, goal setting turns into busywork dressed up as strategy. A person can hit every personal target and the business still misses its number, because nobody checked whether the personal targets pointed at the same destination.
This is also where employee performance goals differ from generic development goals. A performance goal is scoped to the job itself: Quota, throughput, quality, response time. A development goal is scoped to the person’s growth: A new skill, a certification, a stretch assignment. Both belong in a complete goal-setting conversation, but conflating them is a common mistake, since a manager who only ever sets performance goals ends up managing a machine instead of a person building a career.
Why Most Goal-Setting Advice Falls Apart in Practice
Psychologists Edwin Locke and Gary Latham built one of the most tested theories in management research: Specific, difficult goals produce higher performance than vague “do your best” goals or no goals at all. Their body of work spans roughly 1,000 studies conducted between 1968 and 2019. Within a person’s ability range, goal difficulty and performance correlate at 0.82, a strong relationship by any social-science standard. Push the goal past what is achievable, and that correlation collapses to 0.11.
That second number rarely makes it into corporate training decks, and it matters. Locke and Latham also found that difficult, specific goals can hurt performance on novel or complex tasks, because employees stop developing a strategy and start chasing a number instead. A goal that works well for a repeatable process, such as processing 40 invoices a day, can backfire on a task that requires real problem-solving, such as redesigning a broken onboarding flow.
Most workplace goal-setting content also confuses a task with a goal. Two examples show up constantly in management advice: “Deliver the first draft of a presentation” and “attend a conference.” Neither describes an outcome. Both describe an activity a person can complete without moving a single business metric.
Compare the two versions:
Task disguised as a goal: “Deliver the first draft of the Q3 sales deck.”
Actual goal: “Increase the sales deck’s cold-pitch-to-demo conversion rate by 15% this quarter.”
The second version tells the employee what result matters and leaves the method open. Maybe they get there by rewriting the deck three times. Maybe they get there by changing the follow-up email instead. A manager who assigns tasks as goals ends up managing activity, which is a short step from micromanagement, the opposite of what delegation is supposed to buy you.
The Manager’s Real Job: Track Output, Not Hours
Gallup’s research attributes 70% of the variance in team engagement to the manager, and that influence runs through three levers: Goal setting, regular feedback, and accountability, not supervision of hours worked. Highly engaged business units linked to strong manager practices post 21% higher profitability, 17% higher productivity, and 41% lower absenteeism than low-engagement units.
The clearest evidence that output tracking beats hours tracking comes from Best Buy’s original results-only work environment experiment, built by Cali Ressler and Jody Thompson in 2005. Employees chose when, where, and how long they worked. The only evaluation criterion became whether they hit their defined deliverables. Departments that adopted the model recorded a 35% increase in productivity and a 90% reduction in voluntary turnover.
Stanford economist Nicholas Bloom’s latest research, drawn from more than 30,000 employees tracked over six years and published in February 2026, adds an important nuance. Fully remote work runs 10% to 20% less productive for collaborative tasks and for onboarding new employees, but 10% to 15% more productive for focused, individual work. That single finding explains why output tracking fits a virtual assistant handling lead research or data entry, and why the same model fits poorly for a role that depends on constant real-time collaboration.
Apply this directly to a VA relationship: A VA who logs 40 hours and produces 12 usable leads delivers a worse result than one who logs 25 hours and produces 50. Tracking hours rewards presence. Tracking output rewards the thing you are actually paying for. A virtual assistant executes administrative tasks, among them CRM data entry, travel booking, and lead research, and the only way to know whether that work is paying off is to measure what came out of it, not how long the VA was logged in.
Psychologists Edward Deci and Richard Ryan’s self-determination theory explains why this works beyond the productivity numbers alone. Their research identifies three conditions that drive intrinsic motivation: Autonomy, competence, and relatedness. Monitoring hours pushes against the first condition directly, since it signals that a manager trusts the clock more than the person holding it. An output-based goal does the opposite. It hands someone a result to hit and leaves the method open, which is the definition of autonomy in Deci and Ryan’s model. A VA who feels trusted to manage their own schedule tends to outperform one who has to report every hour, not because the hours stop mattering, but because the reporting itself erodes the motivation driving the work.
Four Frameworks for Setting Goals, and Where Each One Fits
SMART goals (Specific, Measurable, Achievable, Relevant, Time-bound) came out of the same era as Peter Drucker’s Management by Objectives. Applying the SMART criteria forces a manager to answer five questions before assigning a goal: what exactly, how will it be measured, is it realistic, does it matter, and by when. SMART goals improve individual role clarity. They say little about how one person’s goal connects to the company’s broader strategy, which is why a team can hit every individual SMART goal on paper and still miss its quarter.
OKRs (Objectives and Key Results) solve that alignment gap. Andy Grove built the framework at Intel, and John Doerr brought it to Google, later writing it up in Measure What Matters. Doerr’s own summary of the philosophy: “Ideas are easy. Execution is everything.” An OKR pairs one qualitative objective with three or four measurable key results, reviewed on a quarterly cycle. Industry surveys report that a large share of Fortune 500 companies now run some version of OKRs, and that the companies which adopt them most often cite better cross-team alignment and improved execution as the reason. OKRs work well for company and team-level alignment. They work less well as the only tool for a solo remote contributor who needs day-to-day task clarity, which is why pairing OKRs with a SMART goal at the individual level tends to work better than picking one framework and dropping the other.
V2MOM (Vision, Values, Methods, Obstacles, Measures) came from Salesforce CEO Marc Benioff, who has used it since 1999. Benioff describes the five parts directly: The vision defines what the company wants to do, the values set the principles that guide it, the methods outline the actions everyone needs to take, the obstacles name the challenges standing in the way, and the measures specify the actual numerical result. V2MOM stands out for one reason most frameworks skip: It forces a team to name obstacles explicitly, rather than leaving them as an unstated assumption. For a manager working with a VA, the obstacle is often a time zone gap or an unclear handoff process, and naming it as part of the goal-setting conversation turns it into a planning step instead of a recurring surprise.
EOS/Traction, built by Gino Wickman, sets quarterly priorities called Rocks and tracks a handful of weekly numbers on a scorecard. It suits owner-operators who want a lightweight system they can run without new software, which makes it a reasonable starting point for a five-person SME before it needs anything more complex.
One widely repeated line deserves a correction here, because it shapes how people think about all four frameworks above: People usually credit Drucker with the line “what gets measured gets managed.” According to the Drucker Institute, Drucker never said it and did not believe it. The phrase traces back to a 1956 paper by V.F. Ridgway that actually warned against relying too heavily on quantitative measures. The irony is worth sitting with: A metric is far easier to game than a real outcome is to fake, so the measure a manager picks has to track the outcome itself, not just whatever happens to be easy to count.
A Goal Template Built for a Virtual Assistant Role
Activity-based goal (avoid this): “Research competitors and manage my email inbox daily.”
Output-based SMART goal: “Identify 50 qualified leads per week and maintain an inbox response time under 4 hours, tracked weekly in the team’s task board.”
The same target, written as an OKR:
Objective: Make the sales pipeline predictable.
Key Result 1: Increase qualified lead volume from 30 to 50 per week.
Key Result 2: Cut average inbox response time from 11 hours to under 4.
Key Result 3: Hit a 90% SLA compliance rate on lead follow-up within 24 hours.
Both versions describe a result. Neither one tells the VA how to spend their morning, which is exactly the point.
The same shift applies outside sales. A bookkeeping VA’s activity-based version might read “reconcile the accounts and send an update,” while the output-based version reads “close the books within three business days of month-end with fewer than two reconciling items outstanding.” A customer service VA’s version moves from “respond to tickets” to “maintain a first-response time under two hours and a customer satisfaction score above 90%.” The framework does not change by function. Only the number does.
How to Run the Goal-Setting Conversation
Most goal-setting advice stops at the framework and skips the conversation where the goal actually gets set. A structure that works for both an in-house employee and a remote VA runs in four steps, and it fits inside a thirty-minute call or an async document exchange when time zones do not overlap.
Review the last cycle first. Look at what got measured, not what got attempted, and ask what got in the way of the parts that missed.
Agree on two or three goals for the next cycle, not ten. Locke and Latham’s research on goal difficulty assumes a person can actually focus on the goal in front of them. A list of ten goals means none of them gets real attention.
Write the measure before the deadline. A goal like “improve lead quality” needs a number attached before it needs a date, or the deadline becomes the only enforceable part of it.
Name the obstacle out loud, borrowing directly from Benioff’s V2MOM. If a VA needs faster CRM access or a clearer sample of what a “qualified” lead looks like, that gets written down in this meeting, not discovered three weeks later.
For a distributed team, steps one and two work best live, over video or a call. Step three and the ongoing tracking move into the async tools covered below.
Comprehensive Strategies for Remote Employees
Everything above applies to any team. A remote or outsourced team needs three additional layers on top of it: An adapted version of the SMART criteria that survives an async handoff, a performance evaluation cadence that does not depend on hallway visibility, and a deliberate approach to employee engagement when nobody shares a building.
SMART Goals for Distributed Teams
Each letter in the SMART criteria needs a small adjustment once the person doing the work is offsite. Specific has to name the tool where the outcome gets recorded, since no one can glance over a shoulder to catch missing context. Measurable has to be an actual number, not a description, for the same reason. Achievable has to account for time zone lag. A goal that requires a same-day answer from a manager eight time zones away is unrealistic no matter how capable the person doing the work is. Relevant still means the goal ladders up through goal alignment to a team or company objective. Time-bound needs a stated check-in cadence, not just a final deadline, because a remote employee with no interim checkpoint can drift off track for weeks before anyone notices.
Performance Evaluation Without an Office
Two of the best-documented performance evaluation redesigns in modern management come from Adobe and Deloitte, and both point in the same direction: Away from the annual review and toward frequent, lightweight check-ins.
Adobe’s roughly 2,000 people managers were spending close to 80,000 hours a year running the company’s old annual review cycle, the equivalent of 40 full-time employees doing nothing else. Adobe replaced the system in 2012 with a model called Check-In: No forced rating, no stack ranking, a quarterly conversation at minimum, with many teams running it weekly. According to Stanford Graduate School of Business’s case study on the change, Adobe now saves more than 100,000 manager hours a year, voluntary attrition dropped 30%, and 78% of employees report that their manager is open to feedback.
Deloitte reached a similar conclusion from a different angle. The firm’s leadership discovered it was spending close to 2 million hours a year on performance management once someone actually counted the hours, a finding Marcus Buckingham and Ashley Goodall published in Harvard Business Review in 2015. Deloitte’s redesign dropped cascading objectives, annual ratings, and 360-degree feedback in favor of frequent, forward-looking check-ins the firm describes as “one-size-fits-one.”
Both cases carry a direct lesson for a manager running a remote or outsourced team. The annual review was never built for people a supervisor sees every day, and it holds up worse for a team a supervisor never sees at all. A quarterly or monthly check-in, tied to the same output goal set at hiring, replaces the year-end surprise with a running conversation.
Employee Engagement Across Time Zones
Employee engagement and goal clarity are not two separate initiatives. They are the same initiative measured two ways. Gallup’s own research makes the connection explicit: Knowing what is expected at work is the single strongest driver tied to engagement across the 112,312 teams and business units the firm has studied, ahead of pay, perks, or office environment.
Applied to a distributed team, that means the highest-leverage engagement tactic is not a virtual happy hour. It is a goal so clear that a VA in Manila and an employee in the head office both know exactly what “on track” looks like without asking. On top of that baseline, three tactics move the needle further: Recognition delivered in writing inside the same tool where the goal lives, so an achievement stays visible after the fact instead of disappearing into a chat scrollback; a standing 1:1 scheduled inside a time window that actually overlaps; and Darren Murph’s unblocker model, covered below, applied consistently rather than only when a deadline slips.
Building the System That Tracks the Goal
A goal without a tracking system turns into a conversation nobody remembers having. For distributed teams, four tools cover most cases. Asana and ClickUp both handle SLA-style tracking well, since each lets a manager compare a time estimate against the actual time a task took. Monday.com offers the most visual board for a non-technical owner who wants a glance-and-go view of where things stand. Jira fits best when the VA works alongside a development team that already runs sprints. Notion works well as a combined wiki and goal dashboard when a manager wants the goal, the context, and the tracking table living on the same page.
Two metrics borrowed from the outsourcing world make these boards more useful. Utilization rate measures productive hours against total hours available, and it catches overstaffing or underused capacity before it turns into wasted spend. SLA, or service-level agreement, is a written commitment such as “respond to inbound leads within 4 business hours,” a metric a manager and a VA agree on upfront so nobody has to guess what “good” looks like after the fact. For a team spanning Cape Town, Manila, and a head office in the U.S., the practical fix is to write the overlap directly into the SLA, for example two guaranteed hours of daily overlap for live handoffs, with everything outside that window handled asynchronously through the tracking board.
On a Kanban-style board, status colors do the rest of the work. A card marked forest green means on track, amber means at risk, red means blocked. That single glance replaces a status-update meeting, which matters more than it sounds like it should: 55% of remote workers believe an email or a recorded video could replace most of their meetings, and 83% of knowledge workers say async communication increases their productivity.
Common Pitfalls, and Why Longer Hours Isn’t the Fix
Five patterns break goal setting more often than any framework choice does: Goals set without input from the person doing the work, no regular feedback cadence, priorities that shift mid-cycle without anyone updating the goal, no clear definition of what “done” looks like, and a culture that punishes people for admitting a goal has gone off track.
One instinct deserves a direct warning: Pushing a team to work longer hours when a goal is behind schedule. It treats time as the lever that moves output, and the research above says the opposite. The ROWE data and Bloom’s productivity findings both point to output as the real lever, not hours logged. A manager who responds to a missed goal by asking for more hours instead of narrowing the goal’s scope or removing a blocker trades burnout risk for a performance gain that rarely shows up. GitLab’s Head of Remote, Darren Murph, frames the better instinct clearly: A manager’s job is to act as an unblocker rather than a director, clearing the obstacle in front of someone so they can keep moving, instead of asking them to put in more hours around the obstacle.
Setting Goals When Part of Your Team Is a Virtual Assistant
Everything above changes slightly once a VA is part of the mix, because the manager loses the informal channel: No shared office, no overheard conversation, no quick tap on the shoulder. Murph’s unblocker model matters more here, not less. A VA’s output goal depends on getting an answer fast, not on waiting for a slot on the manager’s calendar.
Global adoption backs up why this is worth getting right. Solo entrepreneurs and micro businesses already lead VA adoption, at 67% and 54% respectively, and more than half of businesses surveyed plan to increase outsourcing in 2026. Estimates of the market’s overall size vary by research methodology, ranging from roughly US$5 billion to nearly US$20 billion for 2026 depending on scope, but every major report agrees on the underlying trend: Small and midsize businesses make up the largest and fastest-growing client segment.
Aristo Sourcing places virtual assistants across back-office support, digital marketing, and specialist roles, and the goal-setting conversation happens before the VA’s first day, not after. That means building the initial 90-day scorecard, whether it takes the shape of a SMART goal, an OKR, or a V2MOM, before the relationship starts, so a manager is not left writing it alone from a blank page in week one.
Employee Performance Goal Examples
The framework matters less than seeing it applied. The examples below cover the goal-setting situations managers ask about most, from a brand-new hire to a self-written review.
Performance Goals for New Employees (First 90 Days)
Day 14: Complete onboarding and shadow three live client interactions.
Day 45: Independently handle 80% of routine correspondence, escalating only the remaining 20%.
Day 90: Hit 90% compliance with the agreed SLA response time, unsupervised.
Annual Goal-Setting Examples
Grow qualified pipeline volume by 20% year over year.
Reduce customer churn from 8% to 5% by the fourth quarter.
Cut average project delivery time by 15% without adding headcount.
Self-Performance Review Goal Examples
A self-review goal should follow the same outcome-first structure as a manager-assigned one, written in the past tense once the cycle ends:
“Reduced average ticket resolution time from 6 hours to 3.5 hours by rebuilding the macro library used across the support queue.”
“Increased email campaign open rate from 18% to 27% by rewriting subject lines against a tested framework.”
Work Goal Examples for Evaluation Cycles
Shorter, quarterly checkpoints work best as a narrower slice of the annual goal:
Maintain 95% SLA compliance for the quarter.
Deliver two completed process-documentation guides by quarter-end.
Close the qualified-lead gap identified in the last check-in by at least half.
A Goal-Setting Template You Can Reuse
Goal: [Outcome], measured by [metric], moving from [baseline] to [target], by [date].
Owner: [Name / role]
Check-in cadence: [weekly / biweekly / monthly]
Obstacle to name now: [blocker]
Tool of record: [Asana / ClickUp / Notion / other]
Frequently Asked Questions
What are effective employee goals?
An effective employee goal states a measurable outcome, not an activity, and connects to a team or company objective through goal alignment. Locke and Latham’s research backs this up directly: Specific, appropriately difficult goals outperform vague or “do your best” goals across roughly 1,000 studies.
How do you set SMART goals?
Work through the SMART criteria in order: Define the goal specifically, attach a number that makes it measurable, confirm it is achievable given the person’s ability and current obstacles, connect it to a relevant business priority, and set a firm date. Example: “Increase demo-booking conversion rate from 12% to 18% by the end of Q3.”
Why is goal setting important for employees?
Because the alternative is measurably worse. Only 46% of U.S. employees currently say they know what is expected of them, and Gallup ties that clarity to a 4x gain in retention and a 14x gain in how inspired people feel about their work. Managers also account for 70% of the variance in team engagement, and goal setting is one of the three main levers they control.
What are the 5 SMART goals examples for work?
Sales: “Increase average deal size from US$4,200 to US$5,000 by Q4.”
Customer support: “Cut average first-response time from 6 hours to 2 hours within 60 days.”
Marketing: “Grow qualified organic leads from 40 to 65 per month by the end of the quarter.”
Operations: “Reduce invoice processing errors from 4% to under 1% within 90 days.”
Finance: “Close the books within 3 business days of month-end, down from 7.”
What are the 5 C’s of goal setting?
Clarity, Challenge, Commitment, Consistency, and Confidence. Clarity means the goal is specific and well-defined. Challenge keeps it ambitious without becoming unrealistic. Commitment is the follow-through. Consistency is the small, repeated action that gets you there. Confidence compounds with each result. Unlike Locke and Latham’s peer-reviewed model, the 5 C’s is a practitioner framework rather than an academic one, but it works as a fast gut-check on a goal that already exists.
What are examples of goals for employees?
“Increase customer satisfaction score from 82 to 90 this quarter.” “Onboard and independently manage 15 client accounts within the first 90 days.” “Reduce average email response time to under 4 hours.” “Publish four completed process guides by year-end.” Each names a number and a deadline, which is what separates a goal from a task.
What are the 5 P’s of goal setting?
Passion, Persistence, Planning, People, and Positivity. Passion is wanting the outcome enough to push through setbacks. Persistence is continuing after the first failed attempt. Planning replaces good intentions with an actual sequence of steps. People refers to the support network around the goal. Positivity is the attitude that keeps someone moving when the goal gets harder than expected. Like the 5 C’s, this is a practitioner framework, useful as a mindset checklist rather than a substitute for a measurable target.
Where to Start
The shift that matters most is moving from tracking hours to tracking outcomes, and applying that shift consistently whether the person doing the work sits down the hall or logs in from another continent. A goal states a result. A task states an action. Confusing the two is the single most common mistake in the research above, and it is also the easiest one to fix once a manager knows to look for it.
If you want a second set of eyes on the goals before you hire a VA, book a free introductory call with Aristo Sourcing and we will help you write the first scorecard together.
Jacques
I’ve spent 10+ years building and managing remote teams, first as an operator, now as content lead at Aristo Sourcing, the VA recruitment firm founded by management coach Mads Singers. I’ve worked with outsourced teams across South Africa, the Philippines, and Eastern Europe, and trained directly in Mads’s delegation framework since 2022. At Aristo, I translate that hands-on experience into practical guides for business owners navigating their first, or fifth, VA hire. When I write about onboarding, SOPs, or cost structures, it’s based on watching what works across 500+ placements.
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