Skilled
Skilled is a learning tool that helps team leaders turn training into real results. It guides teams to apply new skills at work.
Use Case
Learning & Development
Help team leaders activate learning faster with an AI assistant
About Skilled
Skilled is a learning tool designed to help teams actually apply what they learn, turning new skills from training into real, on-the-job behavior. Most corporate learning is forgotten within weeks. Skilled solves that by turning learning into consistent action, guiding teams through a 12-week journey of weekly practice, reflection, and review.
It’s built for team leaders who want to support growth, but don’t always have the time, structure, or confidence to coach their teams consistently.
The learning cycle begins with a Preparation Phase, where each team member sets a clear development goal. But this is often where momentum stalls, many teams never get past this first step.
That’s when Skilled came to us with a focused challenge:
How can we help team leaders activate learning faster, and get more teams successfully through the full cycle, using AI?
The Problem
Learners were stalling during the preparation phase, slowing down activation and putting extra pressure on leaders
Leaders and teams were signing up, but too many never made it past the first phase. The preparation step, where each learner sets a personal skill goal, was turning into a bottleneck.
It wasn’t because people didn’t care. In fact, most team leaders were eager to grow their teams and learners were ready to start. But with their busy work schedule and new to the process there was ambiguuity d unsure how to guide everyone forward.
Learners were stuck waiting for direction. Leaders were overwhelmed trying to kick things off. And Skilled’s value, building momentum through practice, couldn’t take hold effectively.
We defined the following challenge:
How can team leaders activate learning faster and ensure more employees complete the full learning cycle using AI?
Skilled was looking for a structured process to explore how AI could make the experience faster and easier, while still delivering real value. The goal was to identify high-impact use cases aligned with both user needs and business outcomes — avoiding wasted effort on AI that doesn’t move the needle.
A lightweight AI assistant that helps learners get started
To solve the activation issue, we focused on the very first step: helping learners complete their preparation faster and with less confusion.
Rather than relying on team leaders to manually guide each person through defining their skill goals, we designed the Fast Prep Flow Assistant, a lightweight AI feature that helps learners complete the preparation phase in minutes, not days.
Through a simple, conversational interface, the assistant guides learners step by step. It suggests relevant learning goals, helps them articulate what they want to improve, and builds out a personalized skill plan.
For team leaders, this removes one of their most time-consuming tasks: helping each team member define what to focus on. The assistant takes over that initial coaching effort, giving leaders confidence that their team is starting the cycle aligned, prepared, and moving forward.
Helping teams to remove the friction that was slowing them down.
We anchored the solution to one key outcome:
% of learners who complete the preparation phase within 1 day
By keeping the AI lightweight we ensured it added real value, without introducing complexity to the product or experience.
The Solution
The Process
How we turned a friction point into a AI-powered experience
o bring the Fast Prep Flow Assistant to life, we ran our full 8-step AI SaaS Accelerator, a structured, high-impact workflow that helps SaaS teams design AI experiences that are useful, intuitive, and grounded in real behavior.
Here’s how we worked with Skilled to make it happen:
1. Strategy
We started by aligning the entire project around a single, measurable objective:
Increase the number of teams who complete the full learning cycle.
From there, we broke this down into specific milestones across monthly and quarterly horizons so we knew exactly what steps we needed to make. This gave Skilled a focused path forward, aligning design, AI, and product decisions with what mattered most.
2. User Blueprint
Next, we took a deep dive into the users within the Skilled platform and mapped the two core user types:
Team leaders – guiding the team
Learners – building new skills
To solve the core problem, we needed to identify the dominant use case — the one that would deliver the highest leverage if solved.
That led us to focus on team activation, centered around a high-impact persona:
The Explorer — a first-time team leader, highly motivated but lacking time and structure.
Using our Use Case Canvas and Jobs To Be Done framework, supported by focused user interviews and team insights, we mapped this persona in detail.
Through that process, we uncovered the key behaviors, needs, and gaps that defined their experience, helping us shape a solution that truly fits this particular user.
3. Intent & Behavior
To design an AI experience that actually helps, we first needed to understand what leaders like the Explorer are trying to achieve, and what gets in their way inside the platform.
Using intent and behavior mapping, we uncovered a few core motivators driving their use of Skilled:
“I want my team to start skill learning quickly, without me having to prep everything.”
“I want to know they’re improving, even when I’m busy.”
But by tracing their behavior more closely, we also uncovered key friction points:
Learners frequently stalled during the preparation phase
Kickoff sessions were often delayed
Team invites had to be sent manually
The pattern was clear: team leaders wanted to lead, but without the time, structure, or tools, it wasn’t easy to get learning started.
4. AI Alignment
With the user journey mapped, we had a clear picture of what users were trying to achieve — and where friction was slowing them down. We could now pinpoint the moments where AI could step in to make the experience faster and easier.
We ran a structured workshop with the Skilled team to surface and evaluate potential AI opportunities.
Three promising concepts emerged:
Fast Prep Flow Assistant – a LLM conversational assistant that helps learners complete the preparation phase quickly and confidently
Smart Kickoff Support – generates personalized kickoff scripts for team leaders
Progress Summaries – provides leaders with clear snapshots of team momentum
Each of these solutions had distinct value, but we focused on identifying the one that would drive the greatest impact, both for the business and for the user, while remaining feasible to build.
We prioritized the Fast Prep Flow Assistant because it directly addressed the biggest blocker to team activation and delivered the highest potential return with the least complexity.
5. Responsible AI
Responsible AI is a foundational part of every solution we design. From day one, we built transparency, control, and trust into the core of the assistant.
Using our AI Experience Canvas and human-centered design principles, we aligned on a clear set of guidelines:
Clear explanations behind every AI suggestion
Guardrails on assumptions, avoiding bias based on role, language, speed, or background
Full user control — learners can edit or override anything the assistant generates
Privacy and data transparency built visibly into the experience
These principles ensured the assistant would be transparent, fair, and respectful — always keeping the user in control.
6. Engagement
Now that the AI concept was defined, the next step was to design the experience so it would feel like a natural part of the user’s daily workflow.
Our goal wasn’t just to launch a feature, it was to drive adoption and make the assistant something users would return to regularly.
To do this, we mapped out the key touchpoints:
When and where the AI should be triggered
How users would interact with it in context
How to re-engage users over time so the assistant becomes a habit, not a one-off tool
By embedding the assistant into the real rhythm of how people work inside Skilled, we laid the foundation for long-term engagement
7. Activation
As soon as learners enter the preparation phase, the assistant is introduced with a clear, helpful message explaining what it can do. Real examples show its capabilities, and a short walkthrough guides users through their first successful interaction.
By reducing uncertainty and removing setup friction, we helped learners reach that key aha moment, quickly understanding the value of the tool and why it exists.
That early win sets the tone for continued engagement and builds confidence from the very first step.
8. Human-Centered UX/UI Design
Once the concept was validated, we brought the experience to life through a sprint-based design process. We worked within Skilled’s design system to ensure visual and functional consistency across the product and the AI assistant.
We also applied a human-centered UX approach, making sure that the principles defined in the AI Experience Canvas were directly translated into a flow that felt intuitive and gave users a strong sense of control.
Each sprint focused on a specific part of the interaction, incorporating feedback and making iterative improvements week by week. This interactive, hands-on approach ensured we were always moving in the right direction.
We treated design as a living process: fast to test, easy to evolve, and grounded in the real needs of both learners and leaders. We used prototypes for usability testing and created demos to validate decisions along the way.
Accelerated team activation into the learning cycle
The launch of the Fast Prep Flow Assistant created a meaningful shift in how teams begin their learning journey inside Skilled.
Previously, learners often got stuck trying to define their goals, unsure of the right steps to take. This delayed activation and added pressure on team leaders to step in and guide the process manually.
Now, the assistant helps learners complete that first step with speed and clarity, guiding them toward a clear, effective practice plan that sets them up for success.
In just a few minutes, learners move from uncertainty to action through a simple conversation with the AI. What used to take days can now be done in around 10 minutes, with no extra support needed from the team leader.
While the assistant will continue to evolve, early signals already show its impact:
* Preparation is completed faster
* Leaders are spending less time onboarding their teams
* Teams are kicking off learning with stronger momentum
It’s a small shift in the flow, but a powerful tool to unlock long-term engagement and improved activation within Skilled.
The Result
Conclusion
Through our structured process, we uncovered a key blocker:
Learners were losing momentum in the very first step, unsure how to define their goals, and left waiting for direction.
Together, we designed and implemented a lightweight AI assistant that helps learners complete their preparation in minutes instead of days. This removed friction for both learners and leaders, accelerating the path to activation.
From initial strategy to a working product, we guided the Skilled team through every step, always focused on creating a seamless, human-centered AI experience aligned with real user behavior.
Our work together is ongoing, and we’re proud of the strong partnership we’ve built, helping Skilled turn AI into a driver of meaningful learning, not just a bolt-on that adds complexity without value.
Let's talk!
Feeling inspired?
If you’re exploring how AI can improve your product experience, let’s get our heads together and see where we can help!
Skilled
Skilled is a learning tool that helps team leaders turn training into real results. It guides teams to apply new skills at work.
Use Case
Learning & Development
Help team leaders activate learning faster with an AI assistant
About Skilled
Skilled is a learning tool designed to help teams actually apply what they learn, turning new skills from training into real, on-the-job behavior. Most corporate learning is forgotten within weeks. Skilled solves that by turning learning into consistent action, guiding teams through a 12-week journey of weekly practice, reflection, and review.
It’s built for team leaders who want to support growth, but don’t always have the time, structure, or confidence to coach their teams consistently.
The learning cycle begins with a Preparation Phase, where each team member sets a clear development goal. But this is often where momentum stalls, many teams never get past this first step.
That’s when Skilled came to us with a focused challenge:
How can we help team leaders activate learning faster, and get more teams successfully through the full cycle, using AI?
The Problem
Learners were stalling during the preparation phase, slowing down activation and putting extra pressure on leaders
Leaders and teams were signing up, but too many never made it past the first phase. The preparation step, where each learner sets a personal skill goal, was turning into a bottleneck.
It wasn’t because people didn’t care. In fact, most team leaders were eager to grow their teams and learners were ready to start. But with their busy work schedule and new to the process there was ambiguuity d unsure how to guide everyone forward.
Learners were stuck waiting for direction. Leaders were overwhelmed trying to kick things off. And Skilled’s value, building momentum through practice, couldn’t take hold effectively.
We defined the following challenge:
How can team leaders activate learning faster and ensure more employees complete the full learning cycle using AI?
Skilled was looking for a structured process to explore how AI could make the experience faster and easier, while still delivering real value. The goal was to identify high-impact use cases aligned with both user needs and business outcomes — avoiding wasted effort on AI that doesn’t move the needle.
A lightweight AI assistant that helps learners get started
To solve the activation issue, we focused on the very first step: helping learners complete their preparation faster and with less confusion.
Rather than relying on team leaders to manually guide each person through defining their skill goals, we designed the Fast Prep Flow Assistant, a lightweight AI feature that helps learners complete the preparation phase in minutes, not days.
Through a simple, conversational interface, the assistant guides learners step by step. It suggests relevant learning goals, helps them articulate what they want to improve, and builds out a personalized skill plan.
For team leaders, this removes one of their most time-consuming tasks: helping each team member define what to focus on. The assistant takes over that initial coaching effort, giving leaders confidence that their team is starting the cycle aligned, prepared, and moving forward.
Helping teams to remove the friction that was slowing them down.
We anchored the solution to one key outcome:
% of learners who complete the preparation phase within 1 day
By keeping the AI lightweight we ensured it added real value, without introducing complexity to the product or experience.
The Solution
The Process
How we turned a friction point into a AI-powered experience
o bring the Fast Prep Flow Assistant to life, we ran our full 8-step AI SaaS Accelerator, a structured, high-impact workflow that helps SaaS teams design AI experiences that are useful, intuitive, and grounded in real behavior.
Here’s how we worked with Skilled to make it happen:
1. Strategy
We started by aligning the entire project around a single, measurable objective:
Increase the number of teams who complete the full learning cycle.
From there, we broke this down into specific milestones across monthly and quarterly horizons so we knew exactly what steps we needed to make. This gave Skilled a focused path forward, aligning design, AI, and product decisions with what mattered most.
2. User Blueprint
Next, we took a deep dive into the users within the Skilled platform and mapped the two core user types:
Team leaders – guiding the team
Learners – building new skills
To solve the core problem, we needed to identify the dominant use case — the one that would deliver the highest leverage if solved.
That led us to focus on team activation, centered around a high-impact persona:
The Explorer — a first-time team leader, highly motivated but lacking time and structure.
Using our Use Case Canvas and Jobs To Be Done framework, supported by focused user interviews and team insights, we mapped this persona in detail.
Through that process, we uncovered the key behaviors, needs, and gaps that defined their experience, helping us shape a solution that truly fits this particular user.
3. Intent & Behavior
To design an AI experience that actually helps, we first needed to understand what leaders like the Explorer are trying to achieve, and what gets in their way inside the platform.
Using intent and behavior mapping, we uncovered a few core motivators driving their use of Skilled:
“I want my team to start skill learning quickly, without me having to prep everything.”
“I want to know they’re improving, even when I’m busy.”
But by tracing their behavior more closely, we also uncovered key friction points:
Learners frequently stalled during the preparation phase
Kickoff sessions were often delayed
Team invites had to be sent manually
The pattern was clear: team leaders wanted to lead, but without the time, structure, or tools, it wasn’t easy to get learning started.
4. AI Alignment
With the user journey mapped, we had a clear picture of what users were trying to achieve — and where friction was slowing them down. We could now pinpoint the moments where AI could step in to make the experience faster and easier.
We ran a structured workshop with the Skilled team to surface and evaluate potential AI opportunities.
Three promising concepts emerged:
Fast Prep Flow Assistant – a LLM conversational assistant that helps learners complete the preparation phase quickly and confidently
Smart Kickoff Support – generates personalized kickoff scripts for team leaders
Progress Summaries – provides leaders with clear snapshots of team momentum
Each of these solutions had distinct value, but we focused on identifying the one that would drive the greatest impact, both for the business and for the user, while remaining feasible to build.
We prioritized the Fast Prep Flow Assistant because it directly addressed the biggest blocker to team activation and delivered the highest potential return with the least complexity.
5. Responsible AI
Responsible AI is a foundational part of every solution we design. From day one, we built transparency, control, and trust into the core of the assistant.
Using our AI Experience Canvas and human-centered design principles, we aligned on a clear set of guidelines:
Clear explanations behind every AI suggestion
Guardrails on assumptions, avoiding bias based on role, language, speed, or background
Full user control — learners can edit or override anything the assistant generates
Privacy and data transparency built visibly into the experience
These principles ensured the assistant would be transparent, fair, and respectful — always keeping the user in control.
6. Engagement
Now that the AI concept was defined, the next step was to design the experience so it would feel like a natural part of the user’s daily workflow.
Our goal wasn’t just to launch a feature, it was to drive adoption and make the assistant something users would return to regularly.
To do this, we mapped out the key touchpoints:
When and where the AI should be triggered
How users would interact with it in context
How to re-engage users over time so the assistant becomes a habit, not a one-off tool
By embedding the assistant into the real rhythm of how people work inside Skilled, we laid the foundation for long-term engagement
7. Activation
As soon as learners enter the preparation phase, the assistant is introduced with a clear, helpful message explaining what it can do. Real examples show its capabilities, and a short walkthrough guides users through their first successful interaction.
By reducing uncertainty and removing setup friction, we helped learners reach that key aha moment, quickly understanding the value of the tool and why it exists.
That early win sets the tone for continued engagement and builds confidence from the very first step.
8. Human-Centered UX/UI Design
Once the concept was validated, we brought the experience to life through a sprint-based design process. We worked within Skilled’s design system to ensure visual and functional consistency across the product and the AI assistant.
We also applied a human-centered UX approach, making sure that the principles defined in the AI Experience Canvas were directly translated into a flow that felt intuitive and gave users a strong sense of control.
Each sprint focused on a specific part of the interaction, incorporating feedback and making iterative improvements week by week. This interactive, hands-on approach ensured we were always moving in the right direction.
We treated design as a living process: fast to test, easy to evolve, and grounded in the real needs of both learners and leaders. We used prototypes for usability testing and created demos to validate decisions along the way.
Accelerated team activation into the learning cycle
The launch of the Fast Prep Flow Assistant created a meaningful shift in how teams begin their learning journey inside Skilled.
Previously, learners often got stuck trying to define their goals, unsure of the right steps to take. This delayed activation and added pressure on team leaders to step in and guide the process manually.
Now, the assistant helps learners complete that first step with speed and clarity, guiding them toward a clear, effective practice plan that sets them up for success.
In just a few minutes, learners move from uncertainty to action through a simple conversation with the AI. What used to take days can now be done in around 10 minutes, with no extra support needed from the team leader.
While the assistant will continue to evolve, early signals already show its impact:
* Preparation is completed faster
* Leaders are spending less time onboarding their teams
* Teams are kicking off learning with stronger momentum
It’s a small shift in the flow, but a powerful tool to unlock long-term engagement and improved activation within Skilled.
The Result
Conclusion
Through our structured process, we uncovered a key blocker:
Learners were losing momentum in the very first step, unsure how to define their goals, and left waiting for direction.
Together, we designed and implemented a lightweight AI assistant that helps learners complete their preparation in minutes instead of days. This removed friction for both learners and leaders, accelerating the path to activation.
From initial strategy to a working product, we guided the Skilled team through every step, always focused on creating a seamless, human-centered AI experience aligned with real user behavior.
Our work together is ongoing, and we’re proud of the strong partnership we’ve built, helping Skilled turn AI into a driver of meaningful learning, not just a bolt-on that adds complexity without value.
Let's talk!
Feeling inspired?
If you’re exploring how AI can improve your product experience, let’s get our heads together and see where we can help!
Skilled
Skilled is a learning tool that helps team leaders turn training into real results. It guides teams to apply new skills at work.
Use Case
Learning & Development
Help team leaders activate learning faster with an AI assistant
About Skilled
Skilled is a learning tool designed to help teams actually apply what they learn, turning new skills from training into real, on-the-job behavior. Most corporate learning is forgotten within weeks. Skilled solves that by turning learning into consistent action, guiding teams through a 12-week journey of weekly practice, reflection, and review.
It’s built for team leaders who want to support growth, but don’t always have the time, structure, or confidence to coach their teams consistently.
The learning cycle begins with a Preparation Phase, where each team member sets a clear development goal. But this is often where momentum stalls, many teams never get past this first step.
That’s when Skilled came to us with a focused challenge:
How can we help team leaders activate learning faster, and get more teams successfully through the full cycle, using AI?
The Problem
Learners were stalling during the preparation phase, slowing down activation and putting extra pressure on leaders
Leaders and teams were signing up, but too many never made it past the first phase. The preparation step, where each learner sets a personal skill goal, was turning into a bottleneck.
It wasn’t because people didn’t care. In fact, most team leaders were eager to grow their teams and learners were ready to start. But with their busy work schedule and new to the process there was ambiguuity d unsure how to guide everyone forward.
Learners were stuck waiting for direction. Leaders were overwhelmed trying to kick things off. And Skilled’s value, building momentum through practice, couldn’t take hold effectively.
We defined the following challenge:
How can team leaders activate learning faster and ensure more employees complete the full learning cycle using AI?
Skilled was looking for a structured process to explore how AI could make the experience faster and easier, while still delivering real value. The goal was to identify high-impact use cases aligned with both user needs and business outcomes — avoiding wasted effort on AI that doesn’t move the needle.
A lightweight AI assistant that helps learners get started
To solve the activation issue, we focused on the very first step: helping learners complete their preparation faster and with less confusion.
Rather than relying on team leaders to manually guide each person through defining their skill goals, we designed the Fast Prep Flow Assistant, a lightweight AI feature that helps learners complete the preparation phase in minutes, not days.
Through a simple, conversational interface, the assistant guides learners step by step. It suggests relevant learning goals, helps them articulate what they want to improve, and builds out a personalized skill plan.
For team leaders, this removes one of their most time-consuming tasks: helping each team member define what to focus on. The assistant takes over that initial coaching effort, giving leaders confidence that their team is starting the cycle aligned, prepared, and moving forward.
Helping teams to remove the friction that was slowing them down.
We anchored the solution to one key outcome:
% of learners who complete the preparation phase within 1 day
By keeping the AI lightweight we ensured it added real value, without introducing complexity to the product or experience.
The Solution
The Process
How we turned a friction point into a AI-powered experience
o bring the Fast Prep Flow Assistant to life, we ran our full 8-step AI SaaS Accelerator, a structured, high-impact workflow that helps SaaS teams design AI experiences that are useful, intuitive, and grounded in real behavior.
Here’s how we worked with Skilled to make it happen:
1. Strategy
We started by aligning the entire project around a single, measurable objective:
Increase the number of teams who complete the full learning cycle.
From there, we broke this down into specific milestones across monthly and quarterly horizons so we knew exactly what steps we needed to make. This gave Skilled a focused path forward, aligning design, AI, and product decisions with what mattered most.
2. User Blueprint
Next, we took a deep dive into the users within the Skilled platform and mapped the two core user types:
Team leaders – guiding the team
Learners – building new skills
To solve the core problem, we needed to identify the dominant use case — the one that would deliver the highest leverage if solved.
That led us to focus on team activation, centered around a high-impact persona:
The Explorer — a first-time team leader, highly motivated but lacking time and structure.
Using our Use Case Canvas and Jobs To Be Done framework, supported by focused user interviews and team insights, we mapped this persona in detail.
Through that process, we uncovered the key behaviors, needs, and gaps that defined their experience, helping us shape a solution that truly fits this particular user.
3. Intent & Behavior
To design an AI experience that actually helps, we first needed to understand what leaders like the Explorer are trying to achieve, and what gets in their way inside the platform.
Using intent and behavior mapping, we uncovered a few core motivators driving their use of Skilled:
“I want my team to start skill learning quickly, without me having to prep everything.”
“I want to know they’re improving, even when I’m busy.”
But by tracing their behavior more closely, we also uncovered key friction points:
Learners frequently stalled during the preparation phase
Kickoff sessions were often delayed
Team invites had to be sent manually
The pattern was clear: team leaders wanted to lead, but without the time, structure, or tools, it wasn’t easy to get learning started.
4. AI Alignment
With the user journey mapped, we had a clear picture of what users were trying to achieve — and where friction was slowing them down. We could now pinpoint the moments where AI could step in to make the experience faster and easier.
We ran a structured workshop with the Skilled team to surface and evaluate potential AI opportunities.
Three promising concepts emerged:
Fast Prep Flow Assistant – a LLM conversational assistant that helps learners complete the preparation phase quickly and confidently
Smart Kickoff Support – generates personalized kickoff scripts for team leaders
Progress Summaries – provides leaders with clear snapshots of team momentum
Each of these solutions had distinct value, but we focused on identifying the one that would drive the greatest impact, both for the business and for the user, while remaining feasible to build.
We prioritized the Fast Prep Flow Assistant because it directly addressed the biggest blocker to team activation and delivered the highest potential return with the least complexity.
5. Responsible AI
Responsible AI is a foundational part of every solution we design. From day one, we built transparency, control, and trust into the core of the assistant.
Using our AI Experience Canvas and human-centered design principles, we aligned on a clear set of guidelines:
Clear explanations behind every AI suggestion
Guardrails on assumptions, avoiding bias based on role, language, speed, or background
Full user control — learners can edit or override anything the assistant generates
Privacy and data transparency built visibly into the experience
These principles ensured the assistant would be transparent, fair, and respectful — always keeping the user in control.
6. Engagement
Now that the AI concept was defined, the next step was to design the experience so it would feel like a natural part of the user’s daily workflow.
Our goal wasn’t just to launch a feature, it was to drive adoption and make the assistant something users would return to regularly.
To do this, we mapped out the key touchpoints:
When and where the AI should be triggered
How users would interact with it in context
How to re-engage users over time so the assistant becomes a habit, not a one-off tool
By embedding the assistant into the real rhythm of how people work inside Skilled, we laid the foundation for long-term engagement
7. Activation
As soon as learners enter the preparation phase, the assistant is introduced with a clear, helpful message explaining what it can do. Real examples show its capabilities, and a short walkthrough guides users through their first successful interaction.
By reducing uncertainty and removing setup friction, we helped learners reach that key aha moment, quickly understanding the value of the tool and why it exists.
That early win sets the tone for continued engagement and builds confidence from the very first step.
8. Human-Centered UX/UI Design
Once the concept was validated, we brought the experience to life through a sprint-based design process. We worked within Skilled’s design system to ensure visual and functional consistency across the product and the AI assistant.
We also applied a human-centered UX approach, making sure that the principles defined in the AI Experience Canvas were directly translated into a flow that felt intuitive and gave users a strong sense of control.
Each sprint focused on a specific part of the interaction, incorporating feedback and making iterative improvements week by week. This interactive, hands-on approach ensured we were always moving in the right direction.
We treated design as a living process: fast to test, easy to evolve, and grounded in the real needs of both learners and leaders. We used prototypes for usability testing and created demos to validate decisions along the way.
Accelerated team activation into the learning cycle
The launch of the Fast Prep Flow Assistant created a meaningful shift in how teams begin their learning journey inside Skilled.
Previously, learners often got stuck trying to define their goals, unsure of the right steps to take. This delayed activation and added pressure on team leaders to step in and guide the process manually.
Now, the assistant helps learners complete that first step with speed and clarity, guiding them toward a clear, effective practice plan that sets them up for success.
In just a few minutes, learners move from uncertainty to action through a simple conversation with the AI. What used to take days can now be done in around 10 minutes, with no extra support needed from the team leader.
While the assistant will continue to evolve, early signals already show its impact:
* Preparation is completed faster
* Leaders are spending less time onboarding their teams
* Teams are kicking off learning with stronger momentum
It’s a small shift in the flow, but a powerful tool to unlock long-term engagement and improved activation within Skilled.
The Result
Conclusion
Through our structured process, we uncovered a key blocker:
Learners were losing momentum in the very first step, unsure how to define their goals, and left waiting for direction.
Together, we designed and implemented a lightweight AI assistant that helps learners complete their preparation in minutes instead of days. This removed friction for both learners and leaders, accelerating the path to activation.
From initial strategy to a working product, we guided the Skilled team through every step, always focused on creating a seamless, human-centered AI experience aligned with real user behavior.
Our work together is ongoing, and we’re proud of the strong partnership we’ve built, helping Skilled turn AI into a driver of meaningful learning, not just a bolt-on that adds complexity without value.
Let's talk!
Feeling inspired?
If you’re exploring how AI can improve your product experience, let’s get our heads together and see where we can help!