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Mia Jensen

Mia Jensen

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Slide comparing two UX workflows: Chat-centric with chat bubbles and tools panel vs. Search-blend with search bar, result cards, and synthesized answer.
Slide comparing two UX workflows: Chat-centric with chat bubbles and tools panel vs. Search-blend with search bar, result cards, and synthesized answer. Fragment #1Slide comparing two UX workflows: Chat-centric with chat bubbles and tools panel vs. Search-blend with search bar, result cards, and synthesized answer. Fragment #2Slide comparing two UX workflows: Chat-centric with chat bubbles and tools panel vs. Search-blend with search bar, result cards, and synthesized answer. Fragment #3Slide comparing two UX workflows: Chat-centric with chat bubbles and tools panel vs. Search-blend with search bar, result cards, and synthesized answer. Fragment #4
This slide was generated for the topic:

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.

Categories

Technology & SoftwarePresentations & StorytellingData & VisualizationCoding & Programming

Generated Notes

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

  1. Establish slide layout: Title, subtitle, two-column structure for comparison.
  2. Design Chat-centric workflow: Implement chat bubbles, tools panel (Search, Analyze, Table, Chart), context area, and status indicator.
  3. 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).
  4. Add animations: Introduce smooth transitions for elements appearing on the slide.
  5. 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.

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.

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