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Dauer 7 Stunden
Schulungsübersicht
- Day 1: From feature briefing to tested prototype
- From design sprint to prototype sprint
- Role of PM and design when prototypes are created in hours
- Figma, Stitch and Lovable in the workflow
- When a prototype adds more than a mockup
- Exercise: Brief a feature from the own backlog in five lines.
- Wireframes and clickable prototypes
- From briefing to the first variant
- Screenshots and sketches as a template
- Building and comparing variants in parallel
- Exercise: Build two variants of the own feature and compare them against criteria.
- Design system in Lovable
- Defining components, colors, spacing and typography through knowledge
- Following brand rules
- Consistency across several pages
- Exercise: Store a small design system as knowledge and align the prototype with it.
- User feedback and stakeholder reviews
- Live changes during the session
- Generating the next version directly from feedback
- Tandem exercise with a client and a builder
- Exercise: Simulate a review in the tandem exercise and implement three pieces of feedback live.
- Handover to development
- When to hand over and when to keep building yourself
- GitHub export and handover document
- Collaboration with teams that use Cursor or Claude Code
- Exercise: Create a handover document with goals, screens and open questions.
- Own feature and demo
- Finishing the feature prototype
- Coaching on the own case
- Demo in the plenary
- Exercise: Present the prototype in 90 seconds.
- Outcome: Each participant has a clickable prototype for an own feature, a stored design system and a handover document for development.
- From design sprint to prototype sprint
Voraussetzungen
- Laptop with a browser, Lovable account, basic knowledge of product management or design, optionally a feature from the own backlog.
- No programming skills required.
Audience
- Product managers, product owners, UX, UI and service designers, and discovery teams.
Erfahrungsberichte (2)
Ein vertiefter Einblick in Lovable.
Mark Trigg - The Highland Council - Employability Team
Kurs - Building Production-Ready Apps with Lovable
Maschinelle Übersetzung
Verstehen Sie die Funktionen und Werkzeuge der KI, um unsere Arbeit zu erleichtern. Es ist wichtig, KI-Chats wie die Durchführung von Analysen und die Erstellung von Präsentationen zu verbessern.
Tri wulandari - PT Chubb Life Insurance Indonesia
Kurs - AI Literacy & Productivity
Maschinelle Übersetzung