Behavioral science
Behavioral science applied to collaboration

We didn't add features.
We studied the people.

15–35% of time in external collaboration is lost to human inefficiency: unclear responsibilities, ignored reminders, scattered documents. Alkmist was designed by a behavioral scientist to fix those patterns at the source.

🧠
🎯
Capability
Motivation
🔓
Opportunity
🔔
Triggers
⏱️
Hick's Law
📈
Goal Gradient
Nudge sent, 2 min response
Goal gradient: 94% complete
🧪 COM-B check passed
15–35%
engagement time lost to coordination
2,300+
users across 28 countries
50%
faster response times with nudges
80%
fewer manual follow-up emails
The real bottleneck

The tools work fine.
The human dynamics don't.

Collaboration software handles file storage and task lists. What it ignores is why an external contact procrastinates on uploading documents, why a third reminder gets deleted unread, and why your team wastes 30 minutes searching for a file that was shared in the wrong thread.

01

Reminders that train people to ignore them

The third "Reminder: item still open" email gets deleted without reading. Same format, same tone, same outcome: nothing. The message didn't fail technically. It failed psychologically.

02

Cognitive overload in every interface

A request list with 120+ rows, 8 columns, colour-coded by someone who left. External collaborators see the full list and freeze. Too many choices, too little clarity on what to do first.

03

No visible progress, no motivation

People are wired to finish what they can see finishing. When completion sits at an invisible 67%, the drive to push through the last third disappears. There's no pull toward the finish line.

04

Fear and confusion on the other side

External contacts aren't difficult. They're confused. "Did I upload the right file? To the right place? Is this format OK?" Uncertainty breeds inaction, which your team reads as resistance.

Where engagement time actually goes
Status tracking
~35%
Manual reminders
~25%
File searching
~20%
Clarifying requests
~15%
Actual work
~5%
Overhead vs. actual work
95 : 5
The frameworks behind the features

COM-B and Fogg.
Applied to every screen.

Every feature in Alkmist maps to a behavioral lever. Mathias Celis (PhD Behavioral Psychology) designed the product logic so each interaction reduces friction, increases clarity, and keeps momentum alive across teams and their external collaborators.

COM-B Model

Capability, Opportunity,
Motivation.

The COM-B model says behavior only happens when someone has the ability, the environment, and the motivation to act. We mapped each of those levers to specific product decisions.

🎯

Capability

Progressive Revelation shows collaborators only what they need right now. Someone uploading 3 documents doesn't see the full 120-row request list.

🔓

Opportunity

Centralised file management and role-based access remove ambiguity. Every document has one place. Every person has one role. No guessing.

Motivation

Visual progress tracking taps the Goal Gradient Effect. At 88% complete, the pull toward 100% is almost physical. We make that percentage visible.

Fogg Behavior Model

Motivation × Ability × Trigger
= Action.

BJ Fogg's research shows that behavior happens when three things align at the same moment. The trigger has to arrive when ability is high and motivation exists. Alkmist times its nudges accordingly.

Behavior Activation Threshold
Fogg Model
Motivation Ability (ease of action) Action zone ↗ Smart nudge 1-click upload Progress bar No action ↘
💡 Alkmist triggers arrive when ability is highest: task-specific, plain language, with the action button right there.
From systems thinking to simple action

Five steps. Every feature goes
through all of them.

We don't brainstorm features in a product meeting. We observe a behavior, map what's driving it, design a nudge, test it with real teams, then measure whether it changed the outcome.

🔍1
Define
The behavior

Identify the specific action (or inaction) causing friction. Example: late document submissions in the final two weeks of an engagement.

🧩2
Explore
The influences

What's driving the behavior? Unclear deadlines? Fear of uploading the wrong format? No visibility on what's already done?

🧪3
Design
The intervention

Build a behaviorally informed solution. Visual deadline nudges. Progressive task lists. Culture-adapted reminder language.

🏗️4
Test
With real teams

Deploy with actual teams and their external contacts. Watch where people hesitate, where they abandon, where they speed up.

📊5
Measure
Beyond completion

Track more than task counts. Measure response times, emotional ease, repeat usage. If people dread using it, the feature failed.

The mind behind the method
Mathias Celis, PhD Behavioral Psychology, Co-Founder of Alkmist
🎓 PhD Behavioral Psychology
🧪 COM-B Practitioner

Mathias Celis
PhD, Co-Founder

Mathias spent years studying why people do (and don't do) what's expected of them. His PhD research focused on behavioral change models, motivation frameworks, and the gap between intention and action.

When he saw how service firms communicated with external contacts, the patterns were textbook: unclear instructions trigger avoidance, generic reminders create habituation, and invisible progress kills motivation. Every finding from his research had a direct application.

Together with co-founder Toto De Brant (Computer Scientist), he built Alkmist around a simple conviction: if you understand the person, the software writes itself.

Mapped every Alkmist feature to COM-B behavioral levers
Designed the adaptive nudge system behind Smart Follow-Up
Built the progressive revelation logic that reduced collaborator overwhelm
Runs behavioral testing with live teams before each release
Case study: RSM Belgium

1,400 users. One season.
Measurable change.

Behavioral design,
tested at scale.

RSM Belgium rolled out Alkmist across their audit practice. The behavioral design principles showed up in the data within weeks. These numbers come from real engagements, not lab conditions.

faster engagement completion
40%
less collaboration friction
€1.2–6M
annual savings per 100-person firm
80%
fewer manual follow-up emails
RSM logo
1,400+ active users
rsm.alkmist.com · Behavioral Impact
Season Performance
Avg. response time
1.4d↓ 52%
Request completion rate
96%↑ 31%
Email volume/engagement
~180↓ 91%
Client satisfaction
4.6/5↑ new
Nudge effectiveness
78%Active
"
We asked ourselves: how does this feel to use? Where might someone hesitate, overthink, or give up? Then we built accordingly, with nudges, visual progress, and no email chaos.
Mathias Celis, Co-Founder
PhD Behavioral Psychology
See it yourself 👀

The demo uses
real workflows.

We walk through the exact flow your team would use, from setting up request lists through sign-off, and show where behavioral science changes the experience at every step.

Pilot-ready in weeks. White-labelled under your brand from day one.

Behavioral science related blogs

Insight
Why firms stay married to inefficient tools
Professional services firms know their tools are inefficient. Most partners can point to the exact friction. Yet nothing changes. This article explores the behavioral forces that keep firms loyal to systems that no longer serve them, and what it actually takes to break the pattern.
Read article
Audit
Client-centric in name only? Audit firms face a service experience gap
Firms often emphasize client collaboration as a core value. But new data suggests a significant disconnect between stated priorities and the service experience clients actually receive. This article explores the root causes and offers a practical path forward.
Read article
FAQ
We’re here to answer
your questions.
What is behavioral science in collaboration software?
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Behavioral science studies why people act (or don't act) in certain ways. In collaboration software, it means designing features around real human tendencies instead of assuming everyone will follow instructions perfectly. Alkmist applies specific frameworks like the COM-B Model and the Fogg Behavior Model to reduce procrastination, cut through reminder fatigue, and make external collaborators more likely to respond on time. Every interface decision, from how tasks are displayed to when nudges are sent, is informed by these principles.
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How does Alkmist use COM-B to improve external collaboration?
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The COM-B Model breaks behavior into three drivers: Capability (can the person do it?), Opportunity (does their environment support it?), and Motivation (do they want to?). Alkmist maps features to each lever. Progressive Revelation reduces cognitive overload by showing collaborators only the tasks relevant to them right now, addressing Capability. Centralised file management with role-based access removes environmental friction, addressing Opportunity. Visual progress tracking taps the Goal Gradient Effect, which increases motivation as people approach completion.
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What is the Fogg Behavior Model and how does Alkmist apply it?
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BJ Fogg's model states that behavior happens when motivation, ability, and a trigger converge at the same moment. If any one is missing, the person won't act. Alkmist's Smart Follow-Up system applies this by timing nudges to arrive when the action is easiest. Early reminders are supportive. Near deadlines, they're specific: "1 document left for fixed assets. Takes about 2 minutes." That combination of a clear trigger, low effort, and deadline-driven motivation produces 50% faster response times compared to generic email reminders.
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What is Progressive Revelation and why does it matter?
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Progressive Revelation is a design principle where you only show users the information they need at that moment. When an external collaborator logs into Alkmist, they see their 3 pending tasks, not the full 120-row request list that the internal team manages. This directly addresses Hick's Law: the more choices someone faces, the longer they take to act (or they don't act at all). Firms using Alkmist report that clients start uploading documents the same day they receive their login, without any training.
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How does Alkmist reduce reminder fatigue?
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Traditional follow-up uses the same template at the same interval regardless of context. By the third email, most people have learned to ignore it. Alkmist's Smart Follow-Up adjusts tone, timing, and specificity based on where the engagement stands. Early messages are light. As deadlines approach, they include the exact task, estimated time to complete, and a direct link. The system also adapts to cultural context, sending more formal messages to corporate contacts and friendlier ones to smaller organisations. This approach cuts manual follow-up emails by 80%.
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What behavioral science frameworks does Alkmist use?
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Alkmist's product design draws from the COM-B Model (Capability, Opportunity, Motivation), the Fogg Behavior Model (Motivation × Ability × Trigger), Hick's Law (reducing choice overload), the Goal Gradient Effect (people accelerate as they near completion), and Systems Thinking (mapping how delays, communication gaps, and unclear roles interconnect). Co-founder Mathias Celis, who holds a PhD in Behavioral Psychology, applies a 5-step process to every feature: define the behavior, explore what drives it, design an intervention, test it with real teams, and measure impact beyond task completion.
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Who designed the behavioral science behind Alkmist?
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Mathias Celis, co-founder and PhD in Behavioral Psychology. His doctoral research focused on behavioral change models and the gap between intention and action. He mapped every Alkmist feature to COM-B behavioral levers, designed the adaptive nudge system behind Smart Follow-Up, and built the progressive revelation logic that reduced collaborator overwhelm. He runs behavioral testing with live teams before each product release. Together with co-founder Toto De Brant (Computer Scientist), he built Alkmist around the principle that understanding human behavior is more effective than adding more features.
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Does Alkmist's behavioral approach work at scale?
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RSM Belgium deployed Alkmist to 1,400+ users across their audit practice. Within one season, engagement completion was 2x faster, collaboration friction dropped by 40%, and manual follow-up emails fell by 80%. Client response times improved by 52%, and request completion rates reached 96%. These results came from real engagements, not controlled experiments. The behavioral design principles that Mathias built into the platform held up across hundreds of simultaneous projects with different team compositions and client profiles.
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How is Alkmist different from regular project management or file-sharing tools?
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Project management tools organise tasks. File-sharing tools store documents. Neither addresses why people procrastinate, ignore reminders, or upload the wrong file. Alkmist adds a behavioral layer on top of collaboration: progressive revelation to prevent overwhelm, adaptive nudges that adjust based on context, visual progress that motivates completion, and role-based interfaces that remove confusion. The platform was designed by a behavioral scientist specifically for the dynamics between internal teams and their external collaborators, where you can't control the other side's behavior but you can design for it.
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Can Alkmist's behavioral features be customised per client or engagement?
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Yes. Reminder tone (formal, friendly, neutral), timing intervals (24h, 48h, 72h inactivity triggers), deadline escalation sequences, and which tasks are visible to which roles are all configurable per workspace. The platform supports multiple languages for cross-border engagements. Firms typically set a default configuration and then adjust per client based on the relationship and the complexity of the engagement.
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Got a quick q?
Talk directly with our founders.
Talk to Mathias & Toto