// Startertartu Program Participation
1️⃣ Theoretical Business Workshops:
- Learning startup methodologies (Business Model Canvas, Product Design, Marketing, Revenue Models).
- Attending expert lectures & mentor meetings to refine our business idea.
2️⃣ Idea Development & Validation:
- Creating our startup concept (Data Trigger) for digital research data sharing.
- Conducting interviews with industry experts to validate our problem statement.
- Refining the idea through mentoring sessions & user feedback.
3️⃣ Pitching & Final Presentation:
- Preparing and delivering multiple idea pitches (mentors, potential investors).
- Producing a 3-minute final video presentation to summarize the concept.
- Learning about AI integration as a potential solution for our problem.
Research
✅ Startup Research & Business Model Development
- Explored various startup methodologies (lean startup, problem validation).
- Conducted user research & expert interviews to validate our idea.
- Created structured pricing & revenue models.
✅ Mentoring & Pitching Preparation
- Participated in pitching workshops & mentorship sessions.
- Crafted a clear and concise business pitch for investors.
- Received expert feedback from startup incubator advisors.
✅ Product & UX Research
- Designed the wireframe of our digital solution in Figma.
- Outlined how AI could be integrated into the platform.
- Defined key features & usability improvements based on research.
✅ Final Presentation & Documentation
- Created a final 3-minute video presenting the project.
- Edited the video script, voiceover & animations.
- Assembled a structured project report & analysis.
🌟 Project Management & Coordination
- Led team planning & goal setting for user research and interviews
- Coordinated meetings & interview scheduling with industry experts.
- Managed many task distribution & workflow among team members.
📊 User Research & Expert Interviews
- Conducted in-depth interviews with UX researchers & product managers.
- Analyzed feedback to refine our startup problem statement.
- Documented key insights from interviews to guide product development.
📊 Wireframing & UX Design
- Helped to create initial design sketches & wireframes for the Data Trigger platform.
- Helped to structure user navigation & data categorization features.
📊 Pitching & Final Presentation
- Helped to craft the final pitch deck & presentation script.
- Ensured the storytelling was clear & compelling for a general audience.
🔹 Refining the Problem Statement →
💡 Solution: Conducted interviews with UX professionals to validate the need for our product.
🔹 Communicating Complex Ideas Simply →
💡 Solution: Developed a structured pitch & visual storytelling approach.
🔹 Lack of Technical AI Knowledge →
💡 Solution: Attended AI workshops & conferences to learn industry insights.
🔹 Testing Market Viability →
💡 Solution: Created user personas & revenue models to assess scalability.
✅ Start With the Problem, Not the Solution → Effective startups solve real problems, not just create products.
✅ Target the Right User Group Early → Defining the right customers & decision-makers is crucial.
✅ Storytelling Matters in Pitching → A strong pitch needs a clear & relatable problem statement.
✅ Continuous Learning is Key → AI & data-driven solutions require ongoing education & adaptation.
Final Takeaways
🔹 Learned structured startup methodologies & market validation.
🔹 Developed an innovative data-sharing concept for design teams.
🔹 Gained hands-on experience in pitching, research, & business planning.
🔹 Established valuable industry connections for future projects.