Alagie Bah
STRATEGY & OPERATIONS
Hello! — Thanks for taking the time to look over my portfolio. I thought it was important to create this so that recruiters and those a like can get an idea of my thought process and what sort of value I can add to your organization.
Scroll down to see the different case studies:
1. Reducing manual workflows - - - > Automation
2. Rigorous experimentation to product implementation
3. How user interviews lead to results
4. Strong organic growth comes from subtle product plugs
5. Competitor exploration proves there's no need to reinvent the wheel
Alagie Bah
STRATEGY & OPERATIONS
Hello! — Thanks for taking the time to look over my portfolio. I thought it was important to create this so that recruiters and those a like can get an idea of my thought process and what sort of value I can add to your organization.
Scroll down to see the different case studies:
1. Reducing manual workflows - - - > Automation
2. Rigorous experimentation to product implementation
3. How user interviews lead to results
4. Strong organic growth comes from subtle product plugs
5. Competitor exploration proves there's no need to reinvent the wheel
Alagie Bah
STRATEGY & OPERATIONS
Hello! — Thanks for taking the time to look over my portfolio. I thought it was important to create this so that recruiters and those a like can get an idea of my thought process and what sort of value I can add to your organization.
Scroll down to see the different case studies:
1. Reducing manual workflows - - - > Automation
2. Rigorous experimentation to product implementation
3. How user interviews lead to results
4. Strong organic growth comes from subtle product plugs
5. Competitor exploration proves there's no need to reinvent the wheel
Alagie Bah
STRATEGY & OPERATIONS
Hello! — Thanks for taking the time to look over my portfolio. I thought it was important to create this so that recruiters and those a like can get an idea of my thought process and what sort of value I can add to your organization.
Scroll down to see the different case studies:
1. Reducing manual workflows - - - > Automation
2. Rigorous experimentation to product implementation
3. How user interviews lead to results
4. Strong organic growth comes from subtle product plugs
5. Competitor exploration proves there's no need to reinvent the wheel
Scaling Custom Stake Operations
A systems case study: eliminating manual workflows, increasing speed, and empowering teams to act autonomously.
Scaling Custom Stake Operations
A systems case study: eliminating manual workflows, increasing speed, and empowering teams to act autonomously.
Scaling Custom Stake Operations
A systems case study: eliminating manual workflows, increasing speed, and empowering teams to act autonomously.
Scaling Custom Stake Operations
A systems case study: eliminating manual workflows, increasing speed, and empowering teams to act autonomously.
The Problem
Manual processes for handling custom stake operations meant frequent reliance on the engineering team to take care of tasks that should be done by the content team.
Inefficiencies included dependence on technical help and frequent blockers delaying live content launches. This bottleneck frustrated teams and limited experimentation capacity.
For anyone that understands content it is also key for execution to be timely.
The Solution
Key Upgrades:
“Promote”
Make content available for all users regardless of preference of sports
“Pin"
Move content to the top of everyones predict tab
“Futures Tab”
Move content to a tab where users are aware the outcome resolves at a later date
Refund Tool
Fast, self-serve issue resolution
Live Editor
Real-time content tweaks
Each tool’s function removed reliance on engineering and gave ops control. The diagram below illustrates the streamlined system and enhanced UI.
Final Outcome
Our content team now has the ability to work through every flow of the custom stakes process without needing the help of any engineer.
Uploading Process
Editing Process
Resolving Process
Each artifact illustrates how investments in tools and process clarity drive sustainable scale across ops and product teams.
The Problem
Manual processes for handling custom stake operations meant frequent reliance on the engineering team to take care of tasks that should be done by the content team.
Inefficiencies included dependence on technical help and frequent blockers delaying live content launches. This bottleneck frustrated teams and limited experimentation capacity.
For anyone that understands content it is also key for execution to be timely.
The Solution
Key Upgrades:
“Promote”
Make content available for all users regardless of preference of sports
“Pin"
Move content to the top of everyones predict tab
“Futures Tab”
Move content to a tab where users are aware the outcome resolves at a later date
Refund Tool
Fast, self-serve issue resolution
Live Editor
Real-time content tweaks
Each tool’s function removed reliance on engineering and gave ops control. The diagram below illustrates the streamlined system and enhanced UI.
Final Outcome
Our content team now has the ability to work through every flow of the custom stakes process without needing the help of any engineer.
Uploading Process
Editing Process
Resolving Process
Each artifact illustrates how investments in tools and process clarity drive sustainable scale across ops and product teams.
The Problem
Manual processes for handling custom stake operations meant frequent reliance on the engineering team to take care of tasks that should be done by the content team.
Inefficiencies included dependence on technical help and frequent blockers delaying live content launches. This bottleneck frustrated teams and limited experimentation capacity.
For anyone that understands content it is also key for execution to be timely.
The Solution
Key Upgrades:
“Promote”
Make content available for all users regardless of preference of sports
“Pin"
Move content to the top of everyones predict tab
“Futures Tab”
Move content to a tab where users are aware the outcome resolves at a later date
Refund Tool
Fast, self-serve issue resolution
Live Editor
Real-time content tweaks
Each tool’s function removed reliance on engineering and gave ops control. The diagram below illustrates the streamlined system and enhanced UI.
Final Outcome
Our content team now has the ability to work through every flow of the custom stakes process without needing the help of any engineer.
Uploading Process
Editing Process
Resolving Process
Each artifact illustrates how investments in tools and process clarity drive sustainable scale across ops and product teams.
The Problem
Manual processes for handling custom stake operations meant frequent reliance on the engineering team to take care of tasks that should be done by the content team.
Inefficiencies included dependence on technical help and frequent blockers delaying live content launches. This bottleneck frustrated teams and limited experimentation capacity.
For anyone that understands content it is also key for execution to be timely.
The Solution
Key Upgrades:
“Promote”
Make content available for all users regardless of preference of sports
“Pin"
Move content to the top of everyones predict tab
“Futures Tab”
Move content to a tab where users are aware the outcome resolves at a later date
Refund Tool
Fast, self-serve issue resolution
Live Editor
Real-time content tweaks
Each tool’s function removed reliance on engineering and gave ops control. The diagram below illustrates the streamlined system and enhanced UI.
Final Outcome
Our content team now has the ability to work through every flow of the custom stakes process without needing the help of any engineer.
Uploading Process
Editing Process
Resolving Process
Each artifact illustrates how investments in tools and process clarity drive sustainable scale across ops and product teams.
Experimentation & Change Framework
A practical approach to rapid testing, learning, and implementation.
Experimentation & Change Framework
A practical approach to rapid testing, learning, and implementation.
Experimentation & Change Framework
A practical approach to rapid testing, learning, and implementation.
Experimentation &
Change Framework
A practical approach to rapid testing, learning, and implementation.
Implementation Timeline
Problem
One of the key challenges we faced after launching the Vaults feature was low purchase volume. Despite the appeal of high-value prizes like a PS5, users were skeptical about the legitimacy of the feature. Many perceived it as gimmicky or doubted whether anyone was actually winning, which significantly reduced trust and ultimately suppressed conversions.
Experimentation/Iteration
To address this, I ran a series of notification experiments aimed at building credibility and urgency by highlighting real user wins.
Copy example that was targeted to our Gen Z audience:
Header:
These lucky mfs!!!
Subtext:
Tap to see what these 4 users have won from a vault
Final Output
The notifications proved highly effective—each time we highlighted a real user win, vault purchases spiked by over 160% compared to our typical performance. This insight led to a lasting product improvement: we evolved the winning notifications into a persistent social proof ticker within the app. Now users can see real-time updates whenever someone wins a prize, reinforcing legitimacy and driving ongoing engagement through subtle, continuous trust-building.
Implementation Timeline
Problem
One of the key challenges we faced after launching the Vaults feature was low purchase volume. Despite the appeal of high-value prizes like a PS5, users were skeptical about the legitimacy of the feature. Many perceived it as gimmicky or doubted whether anyone was actually winning, which significantly reduced trust and ultimately suppressed conversions.
Experimentation/Iteration
To address this, I ran a series of notification experiments aimed at building credibility and urgency by highlighting real user wins.
Copy example that was targeted to our Gen Z audience:
Header:
These lucky mfs!!!
Subtext:
Tap to see what these 4 users have won from a vault
Final Output
The notifications proved highly effective—each time we highlighted a real user win, vault purchases spiked by over 160% compared to our typical performance. This insight led to a lasting product improvement: we evolved the winning notifications into a persistent social proof ticker within the app. Now users can see real-time updates whenever someone wins a prize, reinforcing legitimacy and driving ongoing engagement through subtle, continuous trust-building.
Implementation Timeline
Problem
One of the key challenges we faced after launching the Vaults feature was low purchase volume. Despite the appeal of high-value prizes like a PS5, users were skeptical about the legitimacy of the feature. Many perceived it as gimmicky or doubted whether anyone was actually winning, which significantly reduced trust and ultimately suppressed conversions.
Experimentation/Iteration
To address this, I ran a series of notification experiments aimed at building credibility and urgency by highlighting real user wins.
Copy example that was targeted to our Gen Z audience:
Header:
These lucky mfs!!!
Subtext:
Tap to see what these 4 users have won from a vault
Final Output
The notifications proved highly effective—each time we highlighted a real user win, vault purchases spiked by over 160% compared to our typical performance. This insight led to a lasting product improvement: we evolved the winning notifications into a persistent social proof ticker within the app. Now users can see real-time updates whenever someone wins a prize, reinforcing legitimacy and driving ongoing engagement through subtle, continuous trust-building.
Implementation Timeline
Problem
One of the key challenges we faced after launching the Vaults feature was low purchase volume. Despite the appeal of high-value prizes like a PS5, users were skeptical about the legitimacy of the feature. Many perceived it as gimmicky or doubted whether anyone was actually winning, which significantly reduced trust and ultimately suppressed conversions.
Experimentation/Iteration
To address this, I ran a series of notification experiments aimed at building credibility and urgency by highlighting real user wins.
Copy example that was targeted to our Gen Z audience:
Header:
These lucky mfs!!!
Subtext:
Tap to see what these 4 users have won from a vault
Final Output
The notifications proved highly effective—each time we highlighted a real user win, vault purchases spiked by over 160% compared to our typical performance. This insight led to a lasting product improvement: we evolved the winning notifications into a persistent social proof ticker within the app. Now users can see real-time updates whenever someone wins a prize, reinforcing legitimacy and driving ongoing engagement through subtle, continuous trust-building.
Listening, Prototyping, Shipping
Listening, Prototyping, Shipping
Listening, Prototyping, Shipping
Insight to Results
The process behind a
feature born from user insight.
During a user interview session, I uncovered a key behavioral insight. Users were actively checking other profiles as a way to measure their own performance. One user mentioned comparing net worth with a top performer to gauge how far behind they had fallen—revealing an emotional and competitive driver that wasn’t yet being directly supported in the product.
I translated this insight into a mockup that allowed users to directly compare profile stats, including win/loss records, prediction accuracy, and coin earnings. I shared the mockup with our community via Discord. Users expressed enthusiasm about having a structured way to compete and track progress against others. This early positive signal gave me confidence to present the concept more formally to the broader team.
In that presentation, I framed the feature around: monetization. Profile comparisons would surface subtle nudges to subscribe—by highlighting the advantages elite users had, we could motivate others to upgrade.
After launch, users who encountered the new profile stat feature and were shown the "Unlock Your Full Potential" prompt converted at a 7% higher first-time sign-up rate compared to users in the control group—turning a simple insight into a measurable growth lever.
Insight to Results
The process behind a
feature born from user insight.
During a user interview session, I uncovered a key behavioral insight. Users were actively checking other profiles as a way to measure their own performance. One user mentioned comparing net worth with a top performer to gauge how far behind they had fallen—revealing an emotional and competitive driver that wasn’t yet being directly supported in the product.
I translated this insight into a mockup that allowed users to directly compare profile stats, including win/loss records, prediction accuracy, and coin earnings. I shared the mockup with our community via Discord. Users expressed enthusiasm about having a structured way to compete and track progress against others. This early positive signal gave me confidence to present the concept more formally to the broader team.
In that presentation, I framed the feature around: monetization. Profile comparisons would surface subtle nudges to subscribe—by highlighting the advantages elite users had, we could motivate others to upgrade.
After launch, users who encountered the new profile stat feature and were shown the "Unlock Your Full Potential" prompt converted at a 7% higher first-time sign-up rate compared to users in the control group—turning a simple insight into a measurable growth lever.
Insight to Results
The process behind a
feature born from user insight.
During a user interview session, I uncovered a key behavioral insight. Users were actively checking other profiles as a way to measure their own performance. One user mentioned comparing net worth with a top performer to gauge how far behind they had fallen—revealing an emotional and competitive driver that wasn’t yet being directly supported in the product.
I translated this insight into a mockup that allowed users to directly compare profile stats, including win/loss records, prediction accuracy, and coin earnings. I shared the mockup with our community via Discord. Users expressed enthusiasm about having a structured way to compete and track progress against others. This early positive signal gave me confidence to present the concept more formally to the broader team.
In that presentation, I framed the feature around: monetization. Profile comparisons would surface subtle nudges to subscribe—by highlighting the advantages elite users had, we could motivate others to upgrade.
After launch, users who encountered the new profile stat feature and were shown the "Unlock Your Full Potential" prompt converted at a 7% higher first-time sign-up rate compared to users in the control group—turning a simple insight into a measurable growth lever.
Insight to Results
The process behind a
feature born from user insight.
During a user interview session, I uncovered a key behavioral insight. Users were actively checking other profiles as a way to measure their own performance. One user mentioned comparing net worth with a top performer to gauge how far behind they had fallen—revealing an emotional and competitive driver that wasn’t yet being directly supported in the product.
I translated this insight into a mockup that allowed users to directly compare profile stats, including win/loss records, prediction accuracy, and coin earnings. I shared the mockup with our community via Discord. Users expressed enthusiasm about having a structured way to compete and track progress against others. This early positive signal gave me confidence to present the concept more formally to the broader team.
In that presentation, I framed the feature around: monetization. Profile comparisons would surface subtle nudges to subscribe—by highlighting the advantages elite users had, we could motivate others to upgrade.
After launch, users who encountered the new profile stat feature and were shown the "Unlock Your Full Potential" prompt converted at a 7% higher first-time sign-up rate compared to users in the control group—turning a simple insight into a measurable growth lever.
The Organic Growth Flip
A small in-product change helped our content stay viral while driving real adoption.
1.5 Million views on social media platform
Organic Impressions
Introduction of seamless product plug. Our operations team worked really hard to create our mvp custom stakes feature.
Product Plug
3.3 Million views on Tiktok
Organic Impressions
Another example of implementing product into an ad seamlesly
Product Plug
Why This Matters
Views don't matter if they aren't leading to installs. This product plug I crafted and implemented meant that our organic views were now turning into installs.
The Organic Growth Flip
A small in-product change helped our content stay viral while driving real adoption.
1.5 Million views on social media platform
Organic Impressions
Introduction of seamless product plug. Our operations team worked really hard to create our mvp custom stakes feature.
Product Plug
3.3 Million views on Tiktok
Organic Impressions
Another example of implementing product into an ad seamlesly
Product Plug
Why This Matters
Views don't matter if they aren't leading to installs. This product plug I crafted and implemented meant that our organic views were now turning into installs.
The Organic Growth Flip
A small in-product change helped our content stay viral while driving real adoption.
1.5 Million views on social media platform
Organic Impressions
Introduction of seamless product plug. Our operations team worked really hard to create our mvp custom stakes feature.
Product Plug
3.3 Million views on Tiktok
Organic Impressions
Another example of implementing product into an ad seamlesly
Product Plug
Why This Matters
Views don't matter if they aren't leading to installs. This product plug I crafted and implemented meant that our organic views were now turning into installs.
The Organic Growth Flip
A small in-product change helped our content stay viral while driving real adoption.
1.5 Million views on social media platform
Organic Impressions
Introduction of seamless product plug. Our operations team worked really hard to create our mvp custom stakes feature.
Product Plug
3.3 Million views on Tiktok
Organic Impressions
Another example of implementing product into an ad seamlesly
Product Plug
Why This Matters
Views don't matter if they aren't leading to installs. This product plug I crafted and implemented meant that our organic views were now turning into installs.
A collection of product explorations.
Snapshots of creative thinking and inspiration.
A collection of product explorations.
Snapshots of creative thinking and inspiration.
A collection of product explorations.
Snapshots of creative thinking and inspiration.
A collection of product explorations.
Snapshots of creative thinking and inspiration.
About this collection
I believe great product thinking often starts with curiosity. This page captures moments where I found inspiration in other apps — moments that made me stop and think, “How could this work in our product?
About this collection
I believe great product thinking often starts with curiosity. This page captures moments where I found inspiration in other apps — moments that made me stop and think, “How could this work in our product?
About this collection
I believe great product thinking often starts with curiosity. This page captures moments where I found inspiration in other apps — moments that made me stop and think, “How could this work in our product?
About this collection
I believe great product thinking often starts with curiosity. This page captures moments where I found inspiration in other apps — moments that made me stop and think, “How could this work in our product?
