Skip to content
UserExplorer

Compare

LogRocket alternative built for product and growth teams

A LogRocket alternative fits when your main question is why users leave rather than which bug fired. UserExplorer gives product, UX and growth teams replay, funnels, form analytics, surveys, user profiles and an AI researcher on every paid plan, with errors still shown in each session.

See a sample report
  • AI analyses included from the Startup plan
  • Console errors attached to each replay
  • Funnels, forms and heatmaps for non developers
  • Surveys and AI interviews built in
Engineer and product colleagues reviewing a recorded session on one laptop
acme-shop.com/signup/step-3

Step 3 of 4

Verify your phone

+1 (415) 555 0132
Send code

Code not delivered. Try again.

02:14 / 05:40

Why teams look around

Made for engineers, used by everyone else

Analyst watching a recorded session on a monitor and taking notes

LogRocket is a strong developer tool. It pairs session replay with error tracking, network logs and performance data, and adds an AI layer on its higher plans. For an engineering team chasing a front end bug, that is exactly right.

Product managers, designers and growth marketers often need something else: where people drop in a funnel, which form field slows them down, what they say when you ask. UserExplorer puts those answers first, keeps errors visible inside every session replay, and includes AI analysis from the first paid plan.

Side by side

UserExplorer and LogRocket compared

Two capable products with different first users.

  • Primary audience

    UserExplorer
    Product, UX, growth and CRO teams
    LogRocket
    Engineering and product teams
  • Session replay

    UserExplorer
    Yes, with rage, dead and error clicks
    LogRocket
    Yes, with deep technical context
  • Error and network logs

    UserExplorer
    Console errors and failed requests per session
    LogRocket
    Detailed, a core strength
  • Heatmaps and form analytics

    UserExplorer
    Included, with field drop-off and hesitation time
    LogRocket
    Heatmaps available, form depth varies
  • Surveys, NPS and AI interviews

    UserExplorer
    Included
    LogRocket
    Not a focus
  • AI analysis

    UserExplorer
    On every paid plan, answers questions with evidence replays
    LogRocket
    On higher plans
  • Hosting region

    UserExplorer
    EU or US choice on Scale and Enterprise
    LogRocket
    Options depend on plan

Based on publicly available information, check each vendor for its current features and prices.

What you gain

What product teams get that a debugging tool leaves out

Funnels anyone can build

Pick the steps, split by source or device and open the visits that dropped. No query language needed.

Form analytics by field

See hesitation time, refills and abandonment for each field. Read more on form analytics.

Heatmaps on the same segments

Click and scroll maps use the segments you saved for funnels and replays.

User answers in context

Surveys, NPS and short AI interviews connect what users say to what they did.

AI from the first plan

Startup includes 50 AI analyses a month. The AI researcher answers questions with the sessions that prove them.

Errors still in view

Console errors and failed requests sit on the replay timeline, so engineers can follow up from the same link.

Switching

How to move from LogRocket or split the work

Some teams keep LogRocket for engineering and move product research to UserExplorer.

  1. Step 1

    Choose a plan

    Select a plan by monthly sessions and buy it online with self serve checkout.

  2. Step 2

    Install the snippet

    Add our script through your tag manager or app shell. Single page apps are supported.

  3. Step 3

    Send key events

    Send signups, purchases and feature use as events and identify users to build profiles.

  4. Step 4

    Hand over the questions

    Move funnel, form and churn questions to UserExplorer and decide later whether to keep both.

AI researcher

From a single bug to a pattern across thousands of visits

A debugging tool shows you one broken session very well. The AI researcher looks at thousands and tells you which problems happen most and cost the most, for example that mobile visitors from paid campaigns abandon at the address step. Each finding links to the replays behind it. See AI user research.

Because findings connect to product analytics and user profiles, you can rank fixes by the users and revenue they touch instead of by how loud the last bug report was.

app.userexplorer.com/insights
This week's findings15,862 sessions read
  1. 1 Phone verification fails on mobile signup 31% of mobile signups 42 replays
  2. 2 Yearly toggle below the fold on /pricing 58% of paid search visitors 27 replays
  3. 3 Coupon field takes focus before Pay 18% of checkouts 19 replays
  4. 4 Export used in 24 h predicts retention 2.4x better week 4 33 replays

Sample data

FAQ

Questions teams ask before they start

What is a good LogRocket alternative for product teams?

UserExplorer suits product, UX and growth teams that need funnels, form analytics, heatmaps, surveys and an AI researcher, while still seeing console errors inside each replay.

Does UserExplorer track JavaScript errors?

Yes. Console errors and failed network requests are attached to the replay timeline at the second they happened. Deep performance monitoring is not our focus.

Is AI included on lower plans?

Yes. Every paid plan includes AI analyses, from 50 a month on Startup to 3,000 on Enterprise. The one time demo after signup does not include AI.

Can I keep LogRocket for engineering?

Yes. Both snippets can run on the same app. Some teams keep LogRocket for debugging and use UserExplorer for product and growth research.

How is UserExplorer priced?

Plans cost $99, $499, $1,499 or $3,999 a month, or half that when billed yearly. Recording pauses at the limit and is never billed extra. See pricing.

Does it work with single page apps?

Yes. Route changes are tracked automatically and you can send custom events and user properties for funnels and profiles.

Give the product team its own answers

Add one snippet, keep errors in every replay and let the AI researcher show which problems cost you users.

See pricing