The shift from "hours worked" to "results delivered" is harder than most companies admit. Elisa Colombani, Chief People Officer at Artsy, has been running the experiment at the intersection of art and technology for years. Her conversation on Reimagining Company Culture is a working CPO's case for productivity that does not depend on visibility, time tracking, or proximity.
Artsy is global, distributed, and operates across multiple countries with different labor norms. That context forces a particular discipline. You cannot manage by walking around when nobody is in the same room. You have to manage by clarifying outcomes, building trust, and creating connection without proximity.
Defining Employee Happiness Without Falling Into Vague Metrics
Happiness is hard to measure and easy to game. Elisa's approach is to triangulate: engagement scores, retention by demographic, internal mobility data, and qualitative pulse signals. No single metric is enough; the combination produces a clearer picture.
Gallup's State of the Global Workplace report continues to show that engagement scores are highly variable across organizations. The variance often correlates with how operationally clear the people function is about what it is measuring and why.
Reinventing Productivity for Remote and Global Teams
Elisa's argument is that productivity in distributed work is fundamentally about clarity. Clarity on what to deliver, what good looks like, and how decisions get made. Companies that have nailed clarity produce more from less; companies that rely on visibility produce less from more.
The infrastructure has to support clarity. People team efficiency tooling that reduces administrative drag. Talent management processes that map roles, ladders, and growth paths. Workplace flexibility norms that fit how the workforce actually works.
How Do You Measure Productivity Without Counting Hours?
Outcome metrics by role family. Sales numbers, code shipped, designs produced, customer cases resolved. The right metric varies by function; the discipline is to define it explicitly and stop tracking time.
What Are the Failure Modes of Results-Only Productivity Models?
Burnout from unclear scope. Performance reviews that punish people for circumstances outside their control. Manager bias amplified when the only signal is output. Each is addressable, but the model has to be designed to catch them.
Creating Meaningful Connection Across Remote and Global Teams
Connection in a distributed company has to be designed. Elisa's framing is that the connection rituals that work in offices do not translate; they need to be reinvented for the distributed context. Onboarding rituals, project-launch rhythms, peer-recognition cadences, and retrospectives all need to be intentional.
Deloitte research on workplace trust found that belonging is one of the two greatest needs in modern organizations and that working remotely for long stretches can produce alienation if not actively countered. The countering is the work.
What Actually Works for Results-Driven Distributed People Work
Make Outcomes Explicit at the Role Level
Most role definitions in companies are vague enough to defend any outcome. Tighter role definitions produce more agency for the role-holder and clearer feedback when something is off.
Train Managers on Outcome Coaching, Not Time Coaching
Managers used to managing by visibility have to retrain. The training matters because the default is hard to break.
Build Connection Rituals That Travel
Rituals that depend on proximity break in distributed work. Rituals designed for distributed work travel well. Investing in the right rituals from the start beats retrofitting later.
Where Employee Relations Fits
ER catches what distributed productivity models cannot prevent. A purpose-built case management platform handles the cases. Anonymous reporting matters more in distributed contexts because the informal channels for raising concerns are missing.
How AI Reduces the Productivity Tax on People Teams
Vera, the AllVoices AI co-pilot, drafts case responses, summarizes histories, and surfaces patterns. People teams get back the hours required for the higher-order work.
Frequently Asked Questions About Results-Driven Productivity
What is the right metric for individual contributor productivity?
It varies by role. Sales has revenue. Engineering has shipped code. Design has approved designs. The metric matters less than the discipline of defining it explicitly per role.
How do you handle a high-performer with bad behavior?
Performance does not protect bad behavior. Companies that pretend it does pay for it later through team attrition.
Can creative work be measured by output alone?
With care. Creative output is harder to count than transactional output. Triangulation across qualitative signals helps.
How do you avoid burnout in a results-driven model?
Manage the workload at the source. Train managers to recognize early signs. Build time-off norms that actually get used.
How does global work change productivity measurement?
Time-zone diversity, regulatory variance, and cultural norms all complicate the picture. The discipline is to localize execution while keeping global outcome standards.
The Bottom Line for HR Leaders
Elisa's framing of productivity as a clarity discipline is the right altitude. Companies that nail clarity produce more from less; companies that depend on visibility produce less from more. The transition is harder than it sounds and worth the work.
SHRM research on workplace burnout ranks heavy workloads and poor leadership as top burnout drivers. Both are diagnoses about clarity and management quality. The fix is upstream: define outcomes, train managers, and build connection rituals that work for the distributed reality.
How These Disciplines Hold Up at Different Company Sizes
The operational disciplines described here scale differently across organization sizes. Mid-market companies tend to feel the pressure first because they are growing past the informal practices that worked at smaller scale. Enterprise companies feel the pressure differently: their existing infrastructure is solid, but it can ossify around legacy patterns that no longer serve a modern workforce. Both face the same underlying challenge of balancing structure with humanity.
The pattern that holds across sizes is that the work is operational rather than aspirational. Companies that treat the people function as a real operating discipline produce different retention, engagement, and case-resolution outcomes than companies that treat it as a soft function. Talent management done with operational rigor produces compounding returns that announcement-driven approaches never match.
The compounding effect of consistent operational discipline shows up in the data over multi-year horizons. Companies that have built the infrastructure tend to see improving retention, faster issue resolution, and steadier engagement scores year over year. The investment is unglamorous; the cumulative outcome is significant for any people team measuring real business impact.
The patterns that travel across companies share a common feature: they treat the work as a multi-year operational discipline rather than a quarterly campaign. Companies that have done this consistently produce retention curves that diverge from peer-group averages within three to four years. The investment is significant, the returns are durable, and the cost of skipping the work is paid in attrition, lost institutional knowledge, and the eventual scramble to rebuild what could have been preserved with consistent attention.
The discipline also produces second-order effects that compound. ER cases tend to drop in volume as upstream interventions take hold. Engagement scores stabilize across business units that previously diverged. Internal mobility broadens because the people who would have left now stay long enough to advance. Each second-order effect feeds back into the first-order numbers, which is why the operational version of this work compounds while the announcement version dissipates.
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