From UX to full-stack:
Multiplayer vs. Fullstory

Fullstory shows you what happened in the frontend. Multiplayer shows you what happened in your full stack and gives you the tools to change it.
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How is Multiplayer different?

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Full stack visibility, not just frontend data

Multiplayer provides full stack session recordings that correlate frontend and backend data out of the box.

•  Fullstory is designed to capture and analyze frontend, end-user behavior. It focuses on website performance signals and interaction data, replaying the DOM to show what users did. But it stops at the browser.

•  Multiplayer provides full stack session recordings by default Each replay correlates frontend screens, user actions, backend traces, logs, request/response payloads, headers, and user feedback into a single timeline.

With Multiplayer, you can say “Fix this bug from this session” or “Build this frontend element based on this session and sketch” and the AI has everything it needs to generate the code you want.

From day one, you get true end-to-end visibility, seamlessly integrated with whichever observability stack you already use.

Full stack visibility, not just frontend data

Session recordings for all engineering workflows, not just behavior research

Multiplayer session replays support multiple install options, recording modes, and use cases across the entire software development lifecycle.

•  Fullstory is primarily a digital experience analytics tool focused on understanding end-user behavior. Its session replays are installed via SDK and are used for product research, UX optimization, customer support, and frontend bug triage.

•  Multiplayer session replays are versatile by design. Recording a session (on demand, continuous, or remote) is as simple as clicking a button in your in-app widget, browser extension or through an SDK. We cover behavior analysis (same as Fullstory), but go further:
•  Developers get full-stack context for bugs and system behavior,
•  QA can see exactly why tests failed,
•  Customer Support can resolve tickets with complete context,
•  Everyone can annotate replays with sketches and requirements for new features.

With Multiplayer, a single investment powers many workflows out of the box, from debugging and testing to support and feature development.

Session recordings for all engineering workflows, not just behavior research

Full circle debugging: capture, fix, validate, repeat

Multiplayer shows how the issue propagated through the system and enables end-to-end debugging workflows.

•  Fullstory is a frontend observation tool: it surfaces what the user saw and did before an error, and flags obvious UI problems. It’s valuable for confirming that something went wrong in the browser.

•  Multiplayer closes the loop with root cause analysis, fix, and validation.
Each session replay automatically correlates frontend events with backend traces, logs, request/response and header data so you can see how a bug impacts the entire system. From there, you can annotate sessions with requirements or feed complete context into your AI coding tools to generate accurate fixes or features. You can also auto-generate test scripts to validate fixes, and document changes as you go.

Multiplayer doesn’t just tell you what broke: it gives you the tools to understand it end-to-end, fix it, validate it, and move forward with confidence.

Full circle debugging: capture, fix, validate, repeat

Designed for AI-native workflows

Multiplayer is built to give AI tools everything they need to be genuinely helpful to developers, without extra effort, rework, or guesswork.

•  Fullstory’s AI functionality is analytics- and UX-driven. It speeds up analytics setup, watching sessions, tagging, summarizing and spotting UI issues. It stops short of actively helping developers fix or build features.

•  Multiplayer’s AI functionality is engineering- and workflow-driven. It helps developers act: fixing bugs, validating changes, and building features faster, with fewer prompts.

Every session replay is pre-correlated and enriched with full stack data. This context can be fed directly into copilots and IDEs, enabling developers to ask AI to “fix this bug from this session” or “implement this feature based on these requirements” with minimal prompting.

Designed for AI-native workflows

Why use Multiplayer?

Accelerate root cause analysis

Accelerate root cause analysis

With full stack session recordings, Multiplayer lets you instantly see how bugs happened in a single timeline. We reduce the guesswork and time wasted grepping through log files or jumping between dashboards and screens.
Build new features faster

Build new features faster

Multiplayer gives you instant clarity into the specifics of end to end system behavior. And, allows you to annotate session recordings with comments, sketches, and requirements. You can build with confidence and share effortlessly with your team (or AI coding assistant!).
Power AI tools with the data they are missing

Power AI tools with the data they are missing

Multiplayer turns session recordings into structured, AI-ready information with full stack, correlated, enriched and annotated data. Your AI tools can generate more accurate fixes, tests, and feature suggestions.

Fullstory helps you understand frontend user behavior. Multiplayer helps you understand, fix, and build systems.

Core differences

FeatureFullstoryMultiplayer
PRIMARY FOCUS
Capturing behavioral data analytics and website performance
Software debugging, development, testing, customer support, documentation
SDLC
Frontend production debugging
Across the lifecycle (full stack production debugging, development, testing, support, AI workflows)
AUDIENCE
PMs, Marketing, Customer Support and Frontend devs
Frontend and backend developers, QA, Customer Support, PMs, end users and external partners
SESSION REPLAYS
Frontend data only (user behavior and DOM data)
Full stack out of the box. Frontend data is auto-correlated with backend data (i.e. traces, logs, request/response and header content for components deep in your system)
BACKEND
No support for backend data
Backend agnostic. You can use any observability stack to route backend data to Multiplayer
AI
Native AI tool to interrogate Fullstory frontend data and summarize content
Feed AI copilots and agents complete, auto-correlated and enriched context from each session., enabling immediate, accurate fixes and development work
TEAM COLLABORATION
Internal comments and integrations with external tools (Jira, Slack, etc.) to share captured frontend data.
😉 multi-player out of the box (e.g. collaboratively annotate session recordings)
DOCUMENTATION
Product analytics dashboards
Build living system knowledge and supports interactive notebooks

Core features

FeatureFullstoryMultiplayer
Session replay
🟡 Only continuous recording and only through SDK
✅ Multiple recording modes (on-demand, continuous, remote) and install options (SDK, in-app widget, browser extension)
Session recording annotation
🟡 Only comments
✅ Sketches, comments, requirements and plans
Full stack correlated data
🔴 No
✅ Out of the box and backend agnostic
Performance monitoring
🟡 Only frontend
🔴 No. Should we consider it? Let us Know.
Dashboards
✔️ Frontend performance monitoring and user behavior
✅ Real-time, auto-generated system map
(e.g. components, dependencies, APIs, etc.)
Notebooks
🔴 No
✅ Interactive sandbox environments
(for developing, testing and documenting APIs), enabling immediate, accurate fixes and development work
MCP server
🔴 No
✅ Full stack context, including annotated session recordings, for all AI workflows

Session recording features

FeatureFullstoryMultiplayer
Installation method
🟡 Only SDK
✅ Browser extension, in-app widget, SDK
On-demand session recording
🔴 No
✅ Full stack by default, no sampling or missing data.
Continuous session recording
🟡 Based on your retention period, monthly session limit, and billing plan. Only frontend data captured
✅ A full-stack, rolling record of your recent activity.
Auto-generated session recordings for exceptions
🟡 Only for frontend exceptions
✅ Both frontend and backend exceptions and errors
Remote session recording
🟡 Based on your retention period, monthly session limit, and billing plan. Only frontend data captured
✅ Silently turn on recordings to capture and reproduce user-reported issues that lack full stack detail
Web-based applications
✔️
Mobile applications
🟡 Only for non-native tech stacks
🟡 Coming soon
Session recording annotation (sketches, comments, plans)
🟡 Only comments
✅ Sketches, comments, requirements and plans
Masking sensitive user information
✔️
Session recording searchability (filters, tags, search)
🟡 Only frontend data
✅ Searchable for full stack data (i.e. backend traces, logs, request/response and header content)
Session recording sharing
✔️
Auto-generated, runnable test scripts from session recordings
🔴 No
✅️ Check out our notebooks

Session recording data

FeatureFullstoryMultiplayer
User clicks + inputs
️️✔️️
Page navigations + loads
️️✔️️
Session metadata (device, runtime environment, browser, OS)
️️✔️️
DOM events
️️✔️️
Console messages
🟡 Only browser console messages
Network requests
🟡 Only on paid plans
HTML source code
✔️
Backend errors
🔴 No
Correlated distributed traces per session
🔴 No
User feedback
🟡 Capture it separately or annotate manually
Request / response content per session
🔴 No
✅ Including from inside the system components <
(e.g. going from one service to another)
Header content per session
🔴 No
✅ Including from inside the system components <
(e.g. going from one service to another)
Service and dependency maps
🔴 No
✅ Full system map (components, dependencies, APIs, etc.)
Repositories
🔴 No
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How does this user flow work?
AI, can you fix this bug based on this session?
How do I reproduce and fix this bug?
What happened during this test that failed?
AI, can you build me a new feature based on this session sketch?

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