Quinn vs Loom

Loom is a screen recording tool that lets you create and share video walkthroughs. It's great for:

• Onboarding new team members
• Explaining internal tools or workflows
• Replacing live demos or status updates

Quinn is an AI-powered training platform. You upload PDFs, SOPs, slide decks, or videos — and Quinn turns them into scenario-based courses with quizzes, simulations, and real-time feedback. It's built for:

• Field, deskless, or high-churn teams
• Performance-driven onboarding
• Soft skill and safety simulations

Summary: Loom shows; Quinn trains.

Loom makes it easy to hit record and explain something. But it still requires someone to:

• Plan the content
• Deliver it well
• Re-record when anything changes

Quinn eliminates that lift. You upload your material once, and the AI does the rest — including:

• Learning objectives
• Simulations and branching logic
• Quizzes and roleplays

Best for… Recording a quick explanation: Loom. Structured courses built from material you upload once: Quinn.

Loom is passive. Learners watch, but they can't interact, apply knowledge, or receive feedback. For many, this leads to:

• Low retention
• Incomplete understanding
• Re-watching or follow-up questions

Quinn is immersive:

• Learners make decisions in real-world scenarios
• They get immediate feedback and scores
• Courses adapt based on input

Best for… Learning by doing, with real-world decisions and immediate feedback: Quinn.

Best for… Product updates, quick demos, and async communication: Loom. Onboarding at scale, SOP training, and performance-based skill building: Quinn.

Quinn now includes advanced features that go well beyond what video can do:

• Ask Quinn – Learners ask natural-language questions and get answers from your content, anywhere.
• Automations – Trigger reminders, follow-ups, and analytics reports (v2 adds text nudges).
• Knowledge Tap – AI calls your experts, captures what they know, and turns it into training.
• Collaborative Commenting – Share training internally and resolve team feedback automatically.
• Zapier/Make Integrations – Push/pull training data into your workflows.
• SKU Library – Load product catalogs so Quinn can answer SKU-level questions.

Best for… AI-native features like natural-language Q&A and expert knowledge capture: Quinn.

Loom videos are 1:1. They don't scale easily:

• Hard to update
• Not trackable in LMSs
• Limited reporting

Quinn scales with:

• SCORM/xAPI output
• Versioned course updates
• Progress and skill analytics

Best for… Scaling trackable, versioned training across teams and geographies: Quinn.

Loom is affordable per user, but it requires heavy internal effort to maintain quality and keep up with changes. Many companies find:

• Leaders re-recording content regularly
• Teams asking the same questions repeatedly
• Poor visibility into learner comprehension

No token fees, no usage credits, no hidden fees. Quinn is a fixed fee with unlimited course creation and unlimited consumption. That includes human-powered customer support and fast AI onboarding. Customers report:

• 40–60% faster time to productivity
• Fewer repeated questions
• Less time spent re-training

Best for… Affordable per-user pricing: Loom. Cutting repeated questions and re-training time: Quinn.

Loom offers view tracking and engagement drop-off. You can see if someone watched — but not what they understood.

Quinn provides:

• Learner performance and decision data
• Quiz and roleplay breakdowns
• Group and trend reporting
• CSV and LMS exports

Best for… Tracking views and drop-off: Loom. Measuring learner performance and decisions: Quinn.

A skilled trades business used Loom to onboard new field technicians with walkthrough videos of key procedures. While convenient to create, they found they couldn't measure comprehension — and safety-related mistakes in the field persisted.

After switching to Quinn, they converted their SOPs into interactive simulations that challenged techs to make real-time decisions with feedback.

In just 30 days:

• Safety-related incidents dropped by 40%
• Time to independent field readiness shrank by 45%
• New hires reported significantly higher confidence entering the field