The Loom Workaround That Every Team Knows
You know the drill. A client records a ten-minute Loom video, narrating their way through your staging site. They click around, mumble something about the header "feeling weird," spend three minutes on an unrelated tangent about their brand guidelines, then circle back to a button that "doesn't seem right." The video lands in your inbox. Now it's your job to watch the whole thing, pause repeatedly, take notes, and manually turn those scattered observations into actual tasks.
Loom is a genuinely useful product for asynchronous communication. It was built so remote teams could replace meetings with short video messages — and Atlassian's acquisition in 2023 expanded its reach further — and it does that well. But somewhere along the way, teams started repurposing it for website feedback, and the cracks in that workflow are hard to ignore.
This article breaks down why a general-purpose screen recorder and a purpose-built website feedback tool solve fundamentally different problems, and what that difference means for your team's efficiency.
What Loom Does Well (And Where It Stops)
Loom lets anyone record their screen, their camera, or both, and share the video with a link. It's fast, the interface is clean, and the free tier is generous enough for casual use. Since Atlassian acquired Loom in 2023, the product has also added AI-powered summaries and transcription features under its Loom AI branding.
For explaining a concept, walking through a slide deck, or giving a teammate a quick status update, Loom is excellent. The problem starts when you try to use it as a feedback tool for a live website.
The core gap: Loom records your screen, not your session
When you record a Loom video on a website, the output is a flat video file. It captures the pixels on your screen at 30 frames per second. That's it. There's no structured data about what was clicked, what was scrolled past, which page was active, or what the DOM looked like at any given moment.
This matters because website feedback isn't just about what something looks like — it's about what happened during the interaction. (Our guide to giving good website feedback explains why context is everything.) A developer debugging a layout issue needs to know the viewport width, the scroll position, and the exact element that was clicked. A video doesn't give them any of that. They're left squinting at a recording, trying to reverse-engineer the context.
givefeedback.dev takes a fundamentally different approach. Instead of recording pixels, it captures a full session replay — every click, scroll, hover, and resize — synced with the reviewer's voice recording. The developer can replay the exact session, inspect the actual elements, and see the interaction data alongside the spoken commentary.
The Manual Task Extraction Problem
Here's where the real productivity gap shows up. After watching a Loom video, someone — usually the developer or a project manager — has to manually extract action items. That means:
- Watching the full video (often 5-15 minutes for a single page review)
- Pausing to take notes at each feedback moment
- Interpreting vague comments like "this part feels cluttered"
- Writing up structured tasks in a project management tool
- Linking back to specific timestamps in the video for context
According to a frequently cited internal study by Loom, their average video is around 4 minutes long. But website review videos tend to run much longer because reviewers are navigating multiple sections and thinking out loud. A 10-minute review video can easily take 20-30 minutes to process into actionable tasks.
givefeedback.dev eliminates this step entirely. For a deeper look at what makes feedback truly actionable, see our guide on reducing revision cycles. Its AI analyses the voice recording and session replay together, then automatically extracts structured, actionable tasks — each tied to a specific moment in the session. Instead of watching a long video and taking notes, you get a task list ready to work from.
If you want to understand what makes feedback actionable in the first place, our guide on how to give good website feedback covers the principles that both tools benefit from — but that givefeedback.dev enforces by design.
Reliability Concerns After the Atlassian Acquisition
Since Atlassian completed its acquisition of Loom, a notable number of users have reported reliability issues. On Trustpilot, Loom currently holds a rating well below expectations for a tool in its category, with recurring complaints about login difficulties, video upload failures, and recordings that fail to save after lengthy sessions (Trustpilot, "Loom Reviews"). G2 reviews echo similar frustrations, with users noting that the desktop app occasionally crashes mid-recording and that customer support response times have lengthened since the acquisition (G2, "Loom Reviews 2025-2026").
These issues are particularly painful in a feedback context. If a client spends ten minutes recording detailed website feedback and the upload fails, they're unlikely to re-record with the same level of detail. The feedback is effectively lost.
givefeedback.dev captures feedback through a lightweight widget embedded directly in the site — no desktop app, no browser extension, no separate upload step. You can try the live demo to see the difference firsthand. The session data streams as the reviewer speaks, so there's no single point of failure at the end of a long recording.
The Pricing Reality
Loom's pricing has evolved considerably. As of 2026, Loom Business with AI features costs between $20 and $24 per user per month, depending on the plan and billing cycle (Loom pricing page). That's a per-seat cost, which means a team of five is paying $100-$120 per month. And every person who needs to review the recordings also needs a paid seat to access the full AI features.
givefeedback.dev takes a different approach to pricing. The Pro plan is $19 per month total — not per user. It includes 5 projects and 100 feedback sessions, with AI task extraction built in. There's also a free Hobby tier (1 project, 5 sessions) for testing, and an Agency plan at $79 per month for teams managing multiple client sites with up to 500 sessions. You can see the full breakdown on our pricing page.
The cost difference is significant, but the more important distinction is what you're paying for. With Loom, you're paying for a general-purpose video tool and then doing the feedback-specific work yourself. With givefeedback.dev, the AI extraction, session replay, and structured task output are the core product.
Feature Comparison at a Glance
Session replay with interaction metadata
- Loom: No. Records screen pixels only.
- givefeedback.dev: Yes. Captures clicks, scrolls, hovers, and DOM state.
Voice recording synced to session
- Loom: Camera and mic record alongside screen, but not tied to session events.
- givefeedback.dev: Voice is synced to the exact moment in the session replay.
AI task extraction
- Loom: Loom AI provides summaries and chapters, but not structured task lists tied to website elements.
- givefeedback.dev: AI analyses voice and session data together to produce actionable, element-specific tasks.
Setup for reviewers
- Loom: Reviewer needs a Loom account, browser extension or desktop app, and must manage recordings.
- givefeedback.dev: Reviewer clicks a widget on the site. No account, no extension, no app.
Embedding in a live site
- Loom: Not applicable. Loom is a standalone tool.
- givefeedback.dev: One
Pricing model
- Loom: Per-user, starting at $20-$24/user/month for AI features.
- givefeedback.dev: Per-project, starting at free (Hobby) and $19/month (Pro).
When You Should Still Use Loom
To be fair, there are scenarios where Loom is the better choice:
- Internal team communication — explaining a concept, giving a code review walkthrough, or recording a quick update
- Non-website feedback — reviewing a PDF, a Figma file, or a spreadsheet
- Sales and onboarding videos — Loom's viewer analytics and CTA features are purpose-built for this
If your feedback is specifically about a live or staging website, and your goal is to get structured, actionable tasks to a developer as fast as possible, a purpose-built tool will save you meaningful time on every review cycle.
The Bottom Line
Loom is a screen recorder. givefeedback.dev is a website feedback tool. They overlap in the sense that both involve recording something on a screen, but the workflows they enable are fundamentally different.
With Loom, the feedback process is: record a video, share it, watch it, manually extract tasks, then work on them. With givefeedback.dev, the process is: speak your feedback while browsing, and the AI delivers structured tasks to the developer. The manual extraction step — the one that eats 20-30 minutes per review — simply doesn't exist.
If you're currently using Loom for website feedback and it feels like more work than it should be, that's not a Loom problem. It's a category problem. You're using a general-purpose tool for a specialised job, and there's now a better option built specifically for that job. For a broader look at your options, see our roundup of the best website feedback tools in 2026.