Conference Talk Miner

User Research & Insights

Conference Talk Miner aims to democratize professional visual asset creation by leveraging the vast library of existing conference content. By automating the extraction and rebranding of high-quality charts and slides, it solves the critical bottleneck of 'design time' for busy professionals. However, success depends on balancing speed with legal compliance (licensing) and ensuring extracted assets are high-resolution enough to be usable in professional contexts.

User Personas

A

Alex Rivera

Senior Product Manager & Keynote Speaker

Tech Savviness

High (Uses Figma, Notion, Pitch.com, but lacks advanced design skills)

Goals

Delivers polished, data-driven presentations without hiring a design agency. Wants to save time between conferences.

Frustrations

Spends 10+ hours manually searching for relevant charts. Struggles with 'blank canvas syndrome' when starting a new deck. Worried about brand consistency when using external assets.

M

Maya Chen

Early-Stage Startup Founder

Tech Savviness

Medium-High (Comfortable with data tools like Tableau/Excel, but relies on drag-and-drop design tools)

Goals

Needs to create high-impact pitch decks quickly to secure funding. Wants to visualize complex growth metrics without drawing them from scratch.

Frustrations

Investors expect professional visuals; she is a technical founder, not a designer. Finds existing slide templates too generic or boring.

J

Jordan Lee

Technical Educator / Trainer

Tech Savviness

Very High (Deep understanding of the subject matter, but limited time for asset creation)

Goals

Creates training materials for internal teams or online courses. Needs clear diagrams to explain complex architecture or workflows.

Frustrations

Hard to find specific technical diagrams (e.g., microservices, CI/CD pipelines) that match their specific tech stack. Existing assets are often too generic.

Pain Points

Time Consumption: Sourcing high-quality visuals manually across YouTube, Vimeo, and SlideShare takes hours or days.

Design Skill Gap: Non-designers struggle to create professional-looking charts from scratch without expensive tools.

Relevance Issues: Generic stock photos and charts do not match specific niche topics (e.g., AI models, blockchain protocols).

Copyright Anxiety: Users fear accidentally infringing on copyright by reusing slides found online without clear licensing info.

Brand Consistency: Extracted assets often come in different color schemes or fonts that clash with the user's company branding.

Low Resolution: Many conference recordings are low quality, resulting in pixelated images when extracted.

Key Use Cases

Use Case

Alex Rivera

Scenario: Preparing a keynote on 'The Future of AI' for a tech summit.

Outcome: Uses the tool to find existing high-quality AI architecture diagrams from past talks, extracts them, and rebrands them to match his company colors.

Use Case

Maya Chen

Scenario: Building a Series A pitch deck for investors.

Outcome: Finds a clean 'User Growth Funnel' chart from a competitor's talk (with permission/license) to visualize her own metrics, saving 4 hours of design work.

Use Case

Jordan Lee

Scenario: Creating an internal training session on Kubernetes.

Outcome: Locates clear Kubernetes cluster topology diagrams from major conferences and uses them as a base for his custom training slides.