Comparing Chat-Centric and Search-Blend UX Workflows
Description provided by the user:
Create a slide comparing two distinct user experience (UX) workflows for question-answering: a chat-centric approach and a search-blend approach. The chat-centric workflow should prioritize a conversational flow, with tools available as secondary aids. The user interacts primarily through a chat interface, using commands like "continue," "refine," and "analyze." The search-blend workflow should emphasize a search-first approach. Users input queries, the system displays results as source cards with credibility ratings, and an assistant synthesizes the information. Users can then "follow up," "open sources," or "refine." Visually represent both workflows and highlight the typical user actions in each.
Start by framing the comparison: we’re looking at two different UX patterns for the same goal—moving from question to insight.
On the left, call out the Chat-centric flow label. Explain that the primary surface is a conversation. The tools live to the side, ready to assist, but the user mostly says “continue, refine, analyze.” Emphasize how momentum stays in the thread while tools augment the response.
Point to the alternating bubbles and the tools panel: Search, Analyze, Table, Chart. Mention that context and quick shortcuts are nearby to speed up iterative refinement.
Shift to the right, the Search + chat blend. Here the first-class action is a query. Results appear as inline source cards with credibility tags. The assistant then synthesizes with citations, and the user follows up or opens sources.
Summarize with the captions: chat-first favors flow and iteration; search-blend favors verification and source-centric exploration. Ask the audience which suits their users’ trust and pace needs.
Behind the Scenes
How AI generated this slide
Establish slide layout: Title, subtitle, two-column structure for comparison.
Design Chat-centric workflow: Implement chat bubbles, tools panel (Search, Analyze, Table, Chart), context area, and status indicator.
Design Search-blend workflow: Implement search bar, result cards with credibility tags, synthesized answer area with citations, and action buttons (follow-up, open sources, refine).
Add animations: Introduce smooth transitions for elements appearing on the slide.
Incorporate annotations: Include captions highlighting typical user actions for each workflow.
Why this slide works
This slide effectively communicates the differences between two UX workflows through clear visual representation and concise annotations. The use of distinct layouts, icons, and color schemes helps differentiate the two approaches. Animations and a structured layout enhance the slide's visual appeal and guide the viewer's attention. The inclusion of specific user actions provides concrete examples of how each workflow operates. The slide is well-organized, easy to understand, and effectively conveys the core message of comparing chat-centric and search-blend UX patterns. Keywords: UX design, user interface, workflow, chat interface, search interface, user experience, information retrieval, conversational AI, search-based AI.
Slide Code
You need to be logged in to view the slide code.
Frequently Asked Questions
What is a chat-centric workflow?
A chat-centric workflow centers around a conversational interface. Users interact primarily through chat, issuing commands like "continue," "refine," or "analyze." Supporting tools are available but secondary to the chat interaction. This design prioritizes a natural language flow and iterative refinement.
What is a search-blend workflow?
In a search-blend workflow, the initial step is a user query. The system responds by displaying search results as source cards, often with credibility indicators. An AI assistant then synthesizes the information, citing its sources. Users can take actions like "follow up," "open sources," or "refine." This workflow emphasizes source verification and exploration.
What are the key differences between these workflows?
Chat-centric workflows prioritize conversational flow and iterative refinement within the chat itself. Search-blend workflows focus on search as the primary action, providing source transparency and allowing users to explore and verify information directly. The choice depends on the user's needs for trust, pace, and exploration vs. guided conversation.
This slide emphasizes the importance of privacy, controls, and safety when handling data, especially in contexts like AI-driven conversations or presentations. The slide design includes a checklist of key practices: reviewing data settings, avoiding sensitive information, citing sources, and verifying critical claims. It visually reinforces these points with checkmarks and animations. Additional information is provided through badges highlighting plan-specific chat history controls and the importance of source transparency for verification. The overall message encourages mindful data practices for better outcomes and trust, aligning protection (shield icon) with transparency (eye icon). The accompanying speaker notes provide talking points to elaborate on each checklist item and badge, prompting audience engagement with a call for questions.
This slide uses a dramatic, dimly lit cityscape backdrop with glowing interconnected lines representing IoT devices. A single spotlight focuses on a smart home icon, pulsating with a subtle red warning glow. The color palette is dark and ominous with neon accents, creating a sense of urgency and potential vulnerability. A smooth zoom effect draws the viewer into the smart home icon, emphasizing the need for proactive security measures.
Imagine vibrant green hues, earthy browns, and the delicate bloom of floral accents adorning your slides. This presentation uses a garden metaphor, visually transforming website elements into flourishing plants. Watch as clean lines of code become winding vines, databases blossom into intricate root systems, and user interfaces unfurl like petals in the sun. Gentle animations breathe life into the digital garden, showcasing growth and potential. Each slide offers a fresh perspective, inviting you to cultivate your own online ecosystem.
The slide explains the various product formats offered, including keyrings, 8cm vinyl figures, and mega editions, catering to different budgets and display preferences. It details the blind box model where the character inside is concealed, adding an element of surprise and maintaining consistent shelf visuals. The inclusion of rare "secret" figures within the blind boxes is highlighted as a key driver of hype, encouraging trading, repeat purchases, and social media buzz. The slide emphasizes how these formats establish a tiered value system, and the combination of blind boxes and secret figures generates sustained excitement and engagement among consumers.
Create a slide visualizing the growth and key milestones of a figurine brand from its inception to its current status. The slide should showcase a timeline format, highlighting significant events like collaborations, viral moments, and expansion into other media like anime. The timeline should span from the brand's first figurines to its current success, including a record auction. The visual style should be clean and minimal, using a horizontal line to represent the timeline and markers for each milestone. The slide should have a title, 'Origins & Timeline,' and use a neutral color palette. The target audience is potential investors and partners, aiming to demonstrate the brand's strong trajectory and potential for future growth.
This slide visually compares the response styles of ChatGPT and Perplexity AI to the same prompt: "Summarize the key points of topic X." The goal is to highlight the differences in their approaches, content structure, and overall tone. ChatGPT's response is presented as a brief, friendly overview with bullet points for key takeaways, emphasizing an approachable and narrative style. Perplexity's response, on the other hand, is shown as a concise, single-paragraph summary with source citations, focusing on efficiency and factual accuracy. The slide aims to showcase how different AI models cater to various needs and preferences, encouraging users to choose the style that best suits their specific use case.
Want to generate your own slides with AI?
Start creating high-tech, AI-powered presentations with Slidebook.
