Dialed
Helping Home Baristas Dial In Better Espresso
Timeline
2 weeks
Role
Product Designer
Tools
Figma
Team
Me
Dialed is a mobile-first concept designed to help home espresso brewers track their brews, learn from others, and dial in coffee beans faster with less waste. As espresso machines like Breville become more common in homes, many users struggle to consistently brew good espresso due to the number of variables involved. BrewDial aims to turn espresso experimentation into a structured, community-driven learning process.
Dialed
Helping Home Baristas Dial In Better Espresso
Timeline
2 weeks
Role
Product Designer
Tools
Figma
Team
Me
Dialed is a mobile-first concept designed to help home espresso brewers track their brews, learn from others, and dial in coffee beans faster with less waste. As espresso machines like Breville become more common in homes, many users struggle to consistently brew good espresso due to the number of variables involved. BrewDial aims to turn espresso experimentation into a structured, community-driven learning process.
Dialed
Helping Home Baristas Dial In Better Espresso
Timeline
2 weeks
Role
Product Designer
Tools
Figma
Team
Me
Dialed is a mobile-first concept designed to help home espresso brewers track their brews, learn from others, and dial in coffee beans faster with less waste. As espresso machines like Breville become more common in homes, many users struggle to consistently brew good espresso due to the number of variables involved. BrewDial aims to turn espresso experimentation into a structured, community-driven learning process.
The Problem
Dialing in espresso is difficult and wasteful
Many home espresso brewers struggle to consistently dial in new coffee beans. Each coffee requires adjusting multiple variables such as grind size, dose, yield, and brew time. Without structured tracking, users rely on memory, notes apps, or trial-and-error.
The Problem
Dialing in espresso is difficult and wasteful
Many home espresso brewers struggle to consistently dial in new coffee beans. Each coffee requires adjusting multiple variables such as grind size, dose, yield, and brew time. Without structured tracking, users rely on memory, notes apps, or trial-and-error.
The Problem
Dialing in espresso is difficult and wasteful
Many home espresso brewers struggle to consistently dial in new coffee beans. Each coffee requires adjusting multiple variables such as grind size, dose, yield, and brew time. Without structured tracking, users rely on memory, notes apps, or trial-and-error.
TikTok
A TikTok video by 2centscoffee shows roughly nine espresso pucks tossed into the trash while dialing in a new coffee bean. With an average 18 g dose per shot, that’s about 162 g of coffee or $9.50 from a $20 bag gone… and most of those shots probably didn’t even taste good.
TikTok
A TikTok video by 2centscoffee shows roughly nine espresso pucks tossed into the trash while dialing in a new coffee bean. With an average 18 g dose per shot, that’s about 162 g of coffee or $9.50 from a $20 bag gone… and most of those shots probably didn’t even taste good.
TikTok
A TikTok video by 2centscoffee shows roughly nine espresso pucks tossed into the trash while dialing in a new coffee bean. With an average 18 g dose per shot, that’s about 162 g of coffee or $9.50 from a $20 bag gone… and most of those shots probably didn’t even taste good.
It’s such a common struggle that r/espresso on Reddit has a dedicated “Dialing In Help” tag for posts where users ask others how to fix their espresso shots. Thousands of home baristas share photos, brew settings, and tasting notes hoping someone can tell them why their espresso tastes sour, bitter, or just… wrong.
It’s such a common struggle that r/espresso on Reddit has a dedicated “Dialing In Help” tag for posts where users ask others how to fix their espresso shots. Thousands of home baristas share photos, brew settings, and tasting notes hoping someone can tell them why their espresso tastes sour, bitter, or just… wrong.
It’s such a common struggle that r/espresso on Reddit has a dedicated “Dialing In Help” tag for posts where users ask others how to fix their espresso shots. Thousands of home baristas share photos, brew settings, and tasting notes hoping someone can tell them why their espresso tastes sour, bitter, or just… wrong.
Therefore I asked,
Therefore I asked,
How might we help home espresso brewers dial in coffee beans faster by learning from their own brews and the experience of others?
How might we help home espresso brewers dial in coffee beans faster by learning from their own brews and the experience of others?
Solution
From trial-and-error to structured learning
Dialed provides a centralized system for logging brews, tracking outcomes, and learning from community brewing data. Instead of starting from scratch every time a user opens a new bag of coffee, the platform allows them to see how others brewed the same beans and what adjustments worked best.
Solution
From trial-and-error to structured learning
Dialed provides a centralized system for logging brews, tracking outcomes, and learning from community brewing data. Instead of starting from scratch every time a user opens a new bag of coffee, the platform allows them to see how others brewed the same beans and what adjustments worked best.
Solution
From trial-and-error to structured learning
Dialed provides a centralized system for logging brews, tracking outcomes, and learning from community brewing data. Instead of starting from scratch every time a user opens a new bag of coffee, the platform allows them to see how others brewed the same beans and what adjustments worked best.
Brew Logging
Users log key brewing variables such as grind size, dose, yield, brew time, and tasting notes. Structured inputs make it easier to compare results and identify patterns over time. This turns each espresso shot into a learning data point rather than a forgotten experiment.
Brew Logging
Users log key brewing variables such as grind size, dose, yield, brew time, and tasting notes. Structured inputs make it easier to compare results and identify patterns over time. This turns each espresso shot into a learning data point rather than a forgotten experiment.
Brew Logging
Users log key brewing variables such as grind size, dose, yield, brew time, and tasting notes. Structured inputs make it easier to compare results and identify patterns over time. This turns each espresso shot into a learning data point rather than a forgotten experiment.
Learn From Past Brews
A timeline view allows users to revisit previous brews and quickly identify which settings produced the best results. This helps users replicate successful recipes and avoid repeating mistakes.
Learn From Past Brews
A timeline view allows users to revisit previous brews and quickly identify which settings produced the best results. This helps users replicate successful recipes and avoid repeating mistakes.
Learn From Past Brews
A timeline view allows users to revisit previous brews and quickly identify which settings produced the best results. This helps users replicate successful recipes and avoid repeating mistakes.
Learn From Other Breville Users
Users can publish their brew results publicly so others can see how they brewed specific beans. Each post includes brew parameters and outcome ratings. This creates a shared knowledge base where users can learn from proven brewing setups rather than starting from scratch.
Learn From Other Breville Users
Users can publish their brew results publicly so others can see how they brewed specific beans. Each post includes brew parameters and outcome ratings. This creates a shared knowledge base where users can learn from proven brewing setups rather than starting from scratch.
Learn From Other Breville Users
Users can publish their brew results publicly so others can see how they brewed specific beans. Each post includes brew parameters and outcome ratings. This creates a shared knowledge base where users can learn from proven brewing setups rather than starting from scratch.
Explore New Coffee Beans
Users can search for specific coffee beans and see how others brewed them. This helps new users start with proven settings rather than relying entirely on trial-and-error. By surfacing common brew patterns for each bean, the platform shortens the dial-in process.
Explore New Coffee Beans
Users can search for specific coffee beans and see how others brewed them. This helps new users start with proven settings rather than relying entirely on trial-and-error. By surfacing common brew patterns for each bean, the platform shortens the dial-in process.
Explore New Coffee Beans
Users can search for specific coffee beans and see how others brewed them. This helps new users start with proven settings rather than relying entirely on trial-and-error. By surfacing common brew patterns for each bean, the platform shortens the dial-in process.
Target Audience
New Breville Owners
Recently purchased a Breville machine and feels overwhelmed by the number of brewing variables. They want guidance and practical starting points rather than complex espresso theory.
New Breville Owners
Recently purchased a Breville machine and feels overwhelmed by the number of brewing variables. They want guidance and practical starting points rather than complex espresso theory.
The Hobbyist Brewer
Already experimenting with different beans and brew settings. They often track brews manually in notes apps or spreadsheets and want a more structured way to analyze results.
The Hobbyist Brewer
Already experimenting with different beans and brew settings. They often track brews manually in notes apps or spreadsheets and want a more structured way to analyze results.
Coffee Explorers
Enjoys trying beans from different roasters and regions. They rely heavily on reviews and recommendations and want to minimize waste when experimenting with new coffees.
Coffee Explorers
Enjoys trying beans from different roasters and regions. They rely heavily on reviews and recommendations and want to minimize waste when experimenting with new coffees.
Success Metrics
What would make this product successful?
Success Metrics
What would make this product successful?
Success Metrics
What would make this product successful?
50% Faster Dial-In Time
Users should require significantly fewer failed brews to dial in new beans. The goal is a measurable reduction in the number of unsuccessful shots needed before achieving a satisfactory brew.
50% Faster Dial-In Time
Users should require significantly fewer failed brews to dial in new beans. The goal is a measurable reduction in the number of unsuccessful shots needed before achieving a satisfactory brew.
80%+ User Confidence When Trying New Beans
Users should feel more confident experimenting with unfamiliar coffees. Success is measured by at least 80% of users reporting improved confidence in dialing in espresso.
80%+ User Confidence When Trying New Beans
Users should feel more confident experimenting with unfamiliar coffees. Success is measured by at least 80% of users reporting improved confidence in dialing in espresso.
Less Coffee Waste During Experimentation
By learning from past brews and community data, users should waste less coffee while dialing in new beans and refining their recipes.
Less Coffee Waste During Experimentation
By learning from past brews and community data, users should waste less coffee while dialing in new beans and refining their recipes.
Prototype
Brew Your Own Coffee!
