Perfect! Let’s combine everything we’ve worked on into a polished, senior-level 0→1 case study for your portfolio. I’ll format it as a narrative-driven story, ready to drop into your portfolio site.
Dogfriendly.se — From Idea to Launch: A 0→1 Pet Tech Platform
Role
Role: Co-founder — Product Strategy, UX Design, Development
Team
Team: 2 (Product/Design/Engineering + Business/Marketing)
Timeline & Type
Timeline: 1.5 years
Type: 0→1 Product
Platform
Platform: Web, iOS, Android
Impact (Highlights):
- Reduced time to find a dog-friendly restaurant in Stockholm from ~30 minutes to 5 minutes
- Created the only platform covering all restaurants in Stockholm with verified dog-friendliness
- Designed trustworthy, playful visual identity that enhanced first impressions
- Built product using AI-assisted workflow (Cursor AI + FlutterFlow) as a one-person technical team
Context
When I adopted my first puppy, a simple hobby—exploring restaurants in Stockholm—became unexpectedly difficult. Like many dog owners, I wanted to bring my dog along, but reliable information about dog-friendly restaurants was scarce. Existing solutions, such as TaMedHunden, were incomplete; newly opened restaurants were often missing, leaving dog owners uncertain whether dogs were welcome.
Other dog owners shared similar frustrations. Some avoided restaurants altogether because their dogs couldn’t stay home, while others endured tedious “find and call” processes just to locate a suitable restaurant.
I saw an opportunity to create a comprehensive, trustworthy solution that would allow dog owners to quickly discover dog-friendly restaurants while also providing granular dog-related information beyond what general platforms offered.
The Problem
Dog policies in restaurants are rarely standardized. Some establishments allow dogs only in certain areas, others only allow small dogs, and some provide water bowls or treats—but this information was not documented online.
The typical workflow for dog owners involved:
- Searching for a restaurant on Google Maps
- Calling to ask whether dogs were allowed
- Repeating this process until finding a suitable option
This approach was time-consuming, inconsistent, and stressful, especially when already outside with a dog.
Reframing the Opportunity
Instead of simply curating a list of restaurants, I reframed the challenge as:
“Layer dog-specific knowledge on top of an existing restaurant ecosystem to provide complete, reliable, and actionable information for dog owners.”
This approach allowed us to leverage existing infrastructure while focusing on high-value information for dog owners.
Product Strategy & Key Decisions
1. Complete Restaurant Coverage
Integrated the Google Places API to automatically pull restaurants into the database whenever users searched a location.
Ensured new restaurants were always added, avoiding the gaps seen in other directories.
2. Dog-Specific Information
Added key attributes that matter to dog owners, including:
- Indoor/outdoor access, size restrictions, or weather considerations
- Water bowls, treats, dog menus, blankets
- Staff friendliness toward dogs
- Nearby dog-friendly spaces for relaxation
Made adding or updating this information fast and intuitive, inspired by apps like Untappd
3. Dual Browsing Modes
Map view for spatial exploration
List view for filtering and structured scanning
Supports different user preferences and mental models
4. Encouraging Dog-Friendly Restaurants
Introduced a voting feature to signal demand for dog access in restaurants that currently don’t allow dogs
Aims to create actionable data for restaurants, encouraging more dog-friendly policies
Execution & Shipping
Design & Visual Identity
Wireframes in Figma mapped out flows and screen hierarchy
Visual identity crafted with co-founder and user testing: black & white + yellow palette, playful yet professional
User feedback informed design iterations (e.g., pink → yellow for inclusivity)
Small touches like a dog throwing a tennis ball animation create delight and reinforce the brand
Development with AI-Enabled Workflow
Used FlutterFlow for initial logic and UI implementation
Leveraged Cursor AI to extend functionality beyond no-code limits, including:
- Limiting Google Places autocomplete to Sweden
- Building animations and interactions
- Adding web ad placements via Adsterra
This approach allowed a solo designer to ship a complex 0→1 product with full functionality across platforms.
Impact
- Time-to-find reduced: from ~30 minutes to 5 minutes per restaurant
- Complete coverage: only platform listing all Stockholm restaurants with verified dog policies
- User trust: clear visual identity, reliable data, and intuitive UX
- Community contributions: simple marking workflow encourages users to help grow the database
Reflection & Learnings
- 0→1 ownership requires iteration: Balancing research, design, and development taught me to prioritize features, test ideas, and iterate quickly
- Data quality is essential for trust: Starting locally allowed personal verification and high reliability
- Delight matters: Animations and small visual cues create positive first impressions
- AI-enabled development expands capability: Cursor AI enabled execution of complex logic that would normally require multiple developers
Dogfriendly.se demonstrates my ability to take a product from concept to launch, combining research, design, technical execution, and strategic thinking — exactly the type of cross-functional leadership expected from a Senior Product Designer or Design Lead.
This is ready to paste into your portfolio, with headings, narrative flow, and clear senior-level messaging.
If you want, I can also suggest a few ways to pair this case study with visuals and screenshots so it’s high-impact and scannable for hiring managers. This will make it feel like a fully finished portfolio project.
Do you want me to do that next?