Fullstory

Replay sessions and turn behavior into product and UX insights

Free Some setup needed Web · API

workflow #session-replay#product-analytics#ux-insights

About

Watch real user sessions, ask questions about behavior, and act on the findings without stitching tools. Product managers, support teams, engineers, and UX researchers use it to spot friction, debug issues, and validate changes. Fullcapture records every interaction, StoryAI converts it into answers, and Guides and Surveys lets teams ship in-product tours and NPS to close the loop.

Editor's Take

Worth trying if you need high‑fidelity context for user behavior — FullStory pairs session replay with AI summaries and in‑product surveys to move from observation to action; expect some learning curve for nontechnical teammates and occasional missed recordings.

Key Features

Open a user’s session replay → pinpoint UI friction and errors in context
Ask StoryAI about a drop‑off or pattern → get behavior‑based answers you can act on
Launch a product tour or NPS survey → collect contextual feedback and validate changes
Track up to 30,000 sessions/month on Free → keep 12 months of data for analysis
Invite teammates (up to 10 on Free) → collaborate on replays, segments, and fixes

Use Cases

A product manager investigating a checkout drop on a retail site by reviewing replays and StoryAI summaries
A support analyst reproducing a customer‑reported bug by sharing a session link with engineering
A UX researcher evaluating a new feature using heatmaps and targeted in‑product surveys

Try It Like This

1
Investigate checkout drop-off
Segment users who abandoned checkout → open representative session replays to watch exact steps and errors → ask StoryAI for summaries of common friction points and export findings to a ticket for engineering.
2
Reproduce and triage a support ticket
From a customer report, locate their session by user ID or email → share the replay link with engineering including console/error logs → add a note and tag the session so the bug fix can be validated after deployment.
3
Validate a UX redesign
Create a segment of users exposed to the new UI → review heatmaps and multiple session replays to confirm interaction changes → run targeted in‑product surveys and compare responses before/after to measure impact.
4
Close the feedback loop with NPS
Launch an in‑product NPS survey to a cohort → tie survey responses to specific session replays for context → use StoryAI to summarize common themes and prioritize follow-up actions.
5
Guide new users through onboarding
Build an in‑product Guide that walks first‑time users through key flows → track completion via session replays and events to see where dropouts occur → iterate on the Guide and re-measure with surveys and replay analysis.

Pros & Cons

Pros

Session replay records full user interactions (Fullcapture) so teams can watch exact clicks, inputs, and errors in context.
StoryAI converts replay patterns into actionable, behavior‑based answers that speed up root‑cause analysis.
Free tier supports up to 30,000 sessions/month, 12 months of data retention, and up to 10 teammates—enough for small teams to start working with replays and surveys.

Cons

Some users report missed or incomplete recordings and occasional live‑viewing failures, which can leave gaps when reproducing rare issues.
New users sometimes find the product complex to navigate, increasing onboarding time for nontechnical team members.

Getting Started

1 Create an account on Fullstory and connect your website or app via the web SDK/API.
2 Enable capture and start collecting sessions, then create a segment for a key flow (e.g., checkout).
3 Open the first recorded session to spot friction and ask StoryAI a question about the behavior.