BakeBuddy is a personal UX project built to help a single home baker streamline how they showcase their menu, receive custom order requests, and manage customer communication. Many small bakers rely heavily on Instagram DMs, which leads to slow replies, unclear pricing, and missed orders. This project explores how thoughtful, inclusive design can turn a home business into a reliable, approachable digital experience.
My Role: UX Designer
Tools: Figma, Google Forms, Google Sheets, Miro, FreeForm
Type: Independent Case Study
Home bakers rely on DMs to run their business, which leads to confusion, delays, and lost trust.
Customers face:
No clear pricing
Slow or inconsistent replies
Confusing custom order conversations
No confirmation or tracking
Low accessibility
Bakers face:
DM overload
Repetitive questions
Missed or untracked orders
No structured way to capture info
Difficulty appearing “trustworthy enough”
“How might we create a simple, trustworthy ordering experience that reduces DM chaos and brings clarity and confidence to both the customer and the home baker?”
To understand what was really breaking for both sides, I interviewed 17 people: regular dessert buyers, event planners, accessibility users, and home bakers across India, the US, Brazil, Canada, and Ireland. I wanted to hear where they hesitate, what stresses them, and what makes them trust a baker enough to pay and wait.
Customers were tired of guessing prices and waiting for replies.
Bakers were exhausted repeating the same messages.
Allergy and accessibility users felt unsupported.
Everyone wanted clarity and reassurance more than fancy features.
The same patterns kept repeating: unclear information, scattered communication, and a lot of emotional load on both sides.
To complement the interviews, I ran a short survey with 40 respondents, including frequent dessert buyers and small home bakers. The goal was to see if the patterns I heard in conversations also showed up at scale.
How Customers Prefer to Order
89 percent prefer placing orders through a website form
Only 11 percent feel comfortable ordering through DMs
81 percent hesitate when prices are not clearly visible
76 percent say slow replies are their biggest frustration
Top Customer Pain Points
Orders Lost Due to Missed Messages
Both customers and home bakers are dealing with the same core problem. People hesitate when prices aren’t visible, bakers struggle to keep up with messages, and a surprising number of orders are lost simply because replies don’t come in time. It made one thing very clear to me, everyone wants a smoother, more reliable way to place and manage orders. A system that brings clarity upfront and reduces back-and-forth could prevent most of these pain points.
To understand what was really breaking inside DM-based ordering, I spoke with customers and home bakers from different places and backgrounds. Their stories helped me see the small frustrations, the emotional load, and the little moments that make ordering either smooth or stressful. From these conversations, I shaped four personas that represent the people I was designing for. They kept the project grounded and helped me make decisions that actually reflect real behavior.
These two represent the everyday flow of DM-based ordering, from unclear prices to long back-and-forth conversations and the emotional uncertainty of waiting for replies. Their needs shaped the foundation of BakeBuddy.
Hannah and Sarah brought a different lens, allergen safety, accessibility, and the need for clearer, more supportive communication. Designing for them helped BakeBuddy become more trustworthy, inclusive, and usable for everyone.
Together, these four people revealed the different breakdowns inside DM-based ordering, from unclear pricing and message overload to safety concerns and accessibility barriers. Designing for them is what helped BakeBuddy feel structured, trustworthy, and genuinely inclusive for anyone who uses it.
Before sketching any screens, I mapped how each person actually tries to place an order today, from the first tap on Instagram to the moment they pick up the cake. Seeing their journeys side by side made the breakdowns impossible to ignore: unclear pricing, scattered messages, slow replies, and a lot of emotional uncertainty.
These maps helped me understand where clarity, structure, and reassurance were most needed.
Across all four journeys, the emotions were the same: confusion, anxiety, and unnecessary back-and-forth. It became clear that BakeBuddy needed to replace uncertainty with structure and reassurance.
Seeing all four journeys side by side made the real problems impossible to ignore.
Everyone, whether a busy customer, an overwhelmed baker, an allergen-focused specialist, or an accessibility user, was getting stuck for the same reasons: unclear details, scattered messages, and no reliable way to confirm an order.
These patterns helped me shape the core problems BakeBuddy needed to solve.
For Customers:
Prices unclear or hidden in captions
DMs feel scattered and slow
No confirmation after payment
Allergen/safety info is hard to find
Accessibility barriers on social media
For Bakers:
DMs get buried during busy hours
Repeating size/flavor/price daily
Manual tracking leads to missed orders
Payment proofs mixed in chat threads
Hard to juggle custom details & baking
These insights shaped the four problem statements that guided every design decision.
Priya is a busy, mobile-first buyer who needs a clear menu with base prices and a short order form because DM-based ordering is slow and leaves her unsure whether her request was received.
Arjun is a solo home baker who needs a structured way to receive and track order inquiries because repetitive DMs and manual notes cause missed messages and stressful confirmation errors.
Sarah is a screen-reader user who needs an accessible menu and order form because unlabeled buttons and images prevent her from ordering independently.
Hannah is an allergen-friendly baker who needs an order flow that displays safety credentials and records dietary restrictions because repeating policies in DMs is inefficient and risks miscommunication.
Home bakers and their customers need a simple, trustworthy way to move from social-media discovery to a structured order because DM-based communication is slow, repetitive, and inaccessible for many users, leading to lost orders and low confidence.
In the ideation phase for BakeBuddy, I focused on the pivotal features that would solve the communication breakdown identified by my personas. For Priya, this meant introducing transparent "base prices" and clear visual menus. For Arjun, the priority was a structured intake system that could capture complex details like cake weight, flavors, and reference photos without a single DM exchange.
I charted a journey that balances freedom with structure. Central to the design is a "Customization Wizard" that guides users through essential decisions one step at a time, reducing the cognitive load for accessibility users like Sarah. Crucially, I integrated allergen-safety checks directly into this flow, ensuring users like Hannah can filter and select dietary options with confidence before they reach the cart.
From there, I sketched preliminary wireframes to visualize this linear path. I prioritized a "Guest Checkout" model to lower entry barriers, allowing users to build their perfect cake before being asked to sign up. These low-fidelity screens evolved into an interactive prototype, serving as the blueprint to test if a structured form could truly replace the warmth and flexibility of a conversation.
Connecting these individual interfaces, I developed the full user flow to visualize the 'Happy Path.' This high-level view demonstrates the app's linearity, guiding the user from an open-ended Browse phase, through the structured Customization steps, and finally to a frictionless Payment confirmation. This blueprint was essential for verifying that all user inputs were captured logically before validating the flow with real users.
Bringing together the research, personas, and user journeys, BakeBuddy took shape as a clear, linear ordering experience that replaces scattered conversations with structure and reassurance. The flow prioritizes clarity early on, guiding customers from discovery to customization while capturing essential details without repeated back-and-forth.
Seeing the full journey end to end made it clear how a structured flow could still preserve the personal feel of ordering from a home baker, while reducing uncertainty on both sides. The final user flow reflects this balance, familiar and approachable, yet intentional enough to build trust, confidence, and reliability throughout the experience.
BakeBuddy explores how clarity and structure can transform everyday interactions into confident experiences for both customers and creators.