Application Design /Project 2: UI/UX Design Document
Application Design /Project 2: UI/UX Design Document
Start from 10.2024
10.2024 -11.2024 /Week 5- Week 10
Gexianjing / 0377636
Application Design 1 / Bachelor of Interactive Spatial Design (Honours)
Project 2: UI/UX design document
Week5
In class, our group of four members was tasked with analyzing and categorizing the features of a travel mobile application. Each member is assigned to present why the app’s features are divided into specific categories and explain the rationale behind the categorization.
Then the teacher asked us to continue exploring how other software can allocate functions more comprehensively. Our group has chosen to allocate functions for medical software, and the homepage will consist of recommended hospital information and appointment consultations. Then, the purchase of medication, medical treatment, physical examination, and medical history records will be grouped together for easy viewing and patients to follow the prompts. Medical insurance payments are classified separately, with medical knowledge popularization and intelligent services being grouped together.
Week 6
Week7
The Importance of Survey Questionnaires in Software Design
The teacher originally required us to conduct an online survey with 50 interviews, but we reported to him that we didn't know that many classmates. He kindly stated that only 35 people are enough.
Click on the link to view Google Docs : https://forms.gle/xqQ7jvdxK1msFBom8
Online survey questionnaire document display
Week8
Week9
User Journey Map for Baidu
User Types:
• University students, young professionals, retirees, etc.
Core Stages:
1. Discovery Stage:
• User Actions: Learning about Baidu’s features through search, social media, or word-of-mouth recommendations.
• Touch Points: Search engine homepage, social media ads, peer recommendations.
• Needs & Pain Points: Users want to quickly find reliable information but may encounter overwhelming or irrelevant results.
• Optimization Suggestions: Highlight academic search features and provide personalized recommendations.
2. Usage Stage:
• User Actions: Users input queries, filter content, or use specific tools like maps, encyclopedia, or document library.
• Touch Points: Search results page, recommended content, interactive tools.
• Needs & Pain Points: Users need accurate and fast content display but may face information overload.
• Optimization Suggestions: Add authority markers for reliable sources and customizable filters.
3. Feedback Stage:
• User Actions: Sharing their experience, giving feedback, or exploring follow-up content.
• Touch Points: Rating systems, feedback forms, social media sharing.
• Needs & Pain Points: Users want their feedback to be valued and to improve their experience.
• Optimization Suggestions: Establish an effective feedback mechanism with incentives.
Classroom teaching documents
Design three virtual characters based on the common characteristics of the survey subjects, namely the Student Party and the Work Party, who all need to use Baidu in their daily lives
Below is a detailed Baidu user journey map, which is divided into six sections, and provides Customer Actions, Touch Points, Needs & Pains, Emotional Curve and Possible Solutions for each section.
User Flow Diagram
1. Logging In and Personalized Recommendations
After downloading and opening Baidu, the user clicks on “Log In” to access their account. Based on their past activities and preferences, Baidu provides personalized smart recommendations. For example, if the user searches for a specific type of restaurant or cuisine, Baidu suggests popular nearby options based on location, ratings, and user reviews.
2. Searching and Smart Filtering
The user enters keywords related to their desired restaurant or cuisine. Baidu’s intelligent search displays a list of relevant restaurants, sorted by criteria like rating, distance, and price range. The user can apply filters (e.g., “Nearest,” “Highest Rated,” or “Special Offers”) to quickly pinpoint their ideal restaurant.
3. Browsing Restaurant Information
After selecting a restaurant, the user accesses its detail page to view essential information, including operating hours, menu, address, photos, and customer reviews. They can also use the “Contact Staff” button on the page to call or chat with the restaurant to make a reservation or inquire about specific needs (e.g., private rooms or special dishes).
4. Navigating to the Restaurant
Once the reservation is confirmed, Baidu Maps generates the optimal route to the restaurant, offering detailed navigation options (walking, driving, or public transit). Real-time traffic updates ensure the user arrives on time.
5. Dining and Payment
Upon arriving at the restaurant, the user follows their reservation details to place their order. Baidu’s QR code dining feature allows the user to scan a table code to view the menu and place orders directly via their phone. This streamlines the ordering process and provides real-time updates on the status of their dishes.
6. Reviewing and Sharing
After the meal, Baidu sends a prompt inviting the user to leave a review. The user can rate the restaurant based on service, food quality, and ambiance, and write detailed comments. If the restaurant offers promotions, the user can upload photos or videos of their dining experience to share with the Baidu community and interact with other users.
Define the Core Features of the MVP
The goal of an MVP is to validate the core value of the product. Therefore, you need to focus on providing the most basic yet valuable feature modules to ensure users can perceive the value of the product and provide initial feedback.
Bai du General Approach:
1. Product Feature Analysis:
• Focus on analyzing Baidu’s core features, such as the search engine, personalized recommendations, voice search, and user data management.
• Compare Baidu’s features with competitors like Google and Bing to identify its strengths and weaknesses.
2. User Experience Analysis:
• Track the typical user journey within Baidu, analyzing ease of use, visual hierarchy, and interaction feedback.
• Conduct usability tests to assess Baidu’s operational and interface design usability.
3. Technical Architecture Analysis:
• Analyze Baidu’s front-end technology (page loading speed, responsiveness) and back-end technology (distributed architecture, data storage).
• Focus on how Baidu utilizes AI to improve search accuracy and user experience.
4. Market and Competition Analysis:
• Position Baidu’s strengths and challenges in the Chinese market, particularly in mobile and localized search.
• Use SWOT analysis to evaluate Baidu’s opportunities and threats in global market expansion.
5. Data and User Feedback Analysis:
• Analyze user engagement and feedback data to assess how Baidu is used and identify pain points.
• Evaluate Baidu’s data privacy and security measures.
6. Optimization Recommendations:
• Suggest improvements in product features, user experience, technical architecture, and market strategy to help Baidu enhance its competitiveness.
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