LogRocket AI employee
A Superkind AI employee that retrieves metrics, analyses sessions, explains deviations, and delivers results as a table in LogRocket. Message it in Teams or Outlook, it does the work in LogRocket and reports back with the result. Sensitive actions wait for your approval.
- Hosted in the EU
- GDPR data processing agreement
- Ready to start today
- Works in Teams, Slack and more
What is a LogRocket AI employee?
A LogRocket AI employee is an AI that connects to your LogRocket account and completes work in it. It retrieves metrics, investigates sessions, compares funnels, and prepares results. Superkind builds this AI employee with your company knowledge, product goals, and rules.
Unlike Zapier or Make, there is nothing to configure. You describe the outcome in plain English, the AI employee picks the right LogRocket actions, chains them with your other systems, and asks for your approval before sensitive actions.
LogRocket combines session replay, product analytics, error analysis, and performance monitoring for digital products.
You ask in Teams
Describe the analysis you need in plain English.
Superkind picks the actions
Selects the right LogRocket actions and combines them into an analysis.
Superkind works in LogRocket
Checks sessions, funnels, issues, and metrics using your real data.
Superkind reports back
Delivers the finished analysis to Teams or Outlook.
What can you ask Superkind to do in LogRocket?
Messages you would actually send. Copy one, swap in your specifics, and Superkind takes it from there.
“Show me the most important LogRocket metrics from last week compared with the previous week.”
you, to @Superkind“Deliver last week’s sessions, users, and conversion as a table for our monthly report.”
you, to @Superkind“Explain the biggest deviations in conversion and errors using the affected LogRocket sessions.”
you, to @Superkind“Let me know here as soon as checkout conversion drops by more than ten percent, and name likely causes.”
you, to @SuperkindHow does Superkind work with LogRocket?
- Native integrations and connectors for 1,000+ tools
1Connect your systems
Connect LogRocket securely to Superkind. Add Teams and the systems that hold your product data and reports. Superkind handles the connection and gets to work.
@Superkind please compare our checkout conversion in LogRocket with the previous week and explain the biggest drop.
On it. I am comparing the checkout funnel and checking the unusual sessions.
2Tell Superkind what you need
Message your AI employee in Teams like a colleague. Ask for a metric, a table, or an explanation for a drop. Superkind translates your question into the right LogRocket actions.
- Checkout conversion down 8.4 percent
- 17 sessions with rage clicks
- Analysis Checkout Week 36 created
Checkout analysis createdWaiting for your approvalCreate conversion drop alert?3Superkind operates, you approve
Superkind checks the right sessions, issues, and funnels in LogRocket. The result returns to Teams with its sources. Changes to alerts, cohorts, or access rights wait for your approval.
What can Superkind do in LogRocket?
Ask in plain English from Teams or Outlook. Superkind picks the right LogRocket actions, runs the work, and reports back. No workflows to build.
Search sessions
Finds LogRocket sessions by time range, user, URL, device, or event.
Open session replay
Retrieves the session replay with timestamp and complete event sequence.
Analyse session timeline
Organises clicks, navigation, network errors, and console messages along the session timeline.
Get replay link
Provides the direct LogRocket link to an unusual session at the relevant moment.
List issues
Lists LogRocket issues by type, status, frequency, or affected users.
Get issue details
Retrieves the stack trace, affected sessions, browsers, and first and last occurrence of an issue.
Find affected users
Identifies the users and sessions affected by a LogRocket issue.
Change issue status
Changes the status of a LogRocket issue according to the agreed handling rule.
Retrieve metrics
Retrieves LogRocket metrics for a time range and defined user segments.
Compare funnels
Compares funnel steps, conversion, and dropoffs between periods or segments.
Analyse paths
Shows common user paths before and after a selected event.
Analyse retention
Calculates retention for cohorts, time ranges, and recurring events.
Save cohort
Saves a LogRocket cohort from events, properties, and behavioural rules.
Get user profile
Retrieves the LogRocket user profile with properties, latest activity, and session history.
List user sessions
Lists all available LogRocket sessions for a specific user in chronological order.
Compare user properties
Compares users by properties such as plan, device, region, or account type.
Check cohort membership
Checks whether a user meets the rules of a saved LogRocket cohort.
Read dashboard metrics
Reads metrics and time series from a LogRocket dashboard.
Create dashboard report
Prepares selected dashboard metrics as a table with period and comparison value.
Create alert
Creates a LogRocket alert for a threshold, an issue, or a conversion drop.
Change alert
Changes the threshold, recipients, or state of an existing LogRocket alert.
Get project information
Retrieves the name, project ID, and basic settings of a LogRocket project.
Invite team member
Invites a team member to a LogRocket project with the selected role.
Check integrations
Shows connected LogRocket integrations and their current state.
Analyse audit log
Lists recorded changes to the project, team, and settings with timestamps.
Delete saved search
Deletes a saved LogRocket search after explicit confirmation.
Superkind uses LogRocket together with your other systems
Ask for outcomes that span tools. The AI employee connects insights from LogRocket with your spreadsheets, customer information, and conversations and delivers one finished result.
Superkind AI employees that work with LogRocket
Every role brings its expertise and uses LogRocket as one of its tools.
Companies working with Superkind
Frequently asked questions
Everything you need to know about your AI employee for LogRocket.
Yes. Superkind connects your LogRocket account through a managed connector. Once connected, your team can ask the AI employee for analyses from Teams or Outlook. It reads sessions, issues, funnels, and metrics with the agreed permissions and delivers the results directly back to the working channel.
An admin establishes the connection to LogRocket and confirms the required project permissions. Together, we select the projects, data areas, and permitted actions. LogRocket is then available to the AI employee in Teams or Outlook. Superkind supports the setup and checks with you that access and results work as agreed.
The AI employee can search sessions, analyse replays and issues, compare funnels, investigate user paths, and calculate retention. It prepares LogRocket metrics as a table, explains deviations, and monitors agreed thresholds. You define which projects, segments, and actions it may use together with Superkind.
No. You do not need to build triggers, zaps, or fixed sequences of steps. You describe the LogRocket analysis you need in Teams or Outlook. Superkind picks the right actions, combines them with data from other systems when needed, and asks if details are missing. Changes to your request are handled through the conversation.
Only with your approval. Superkind can read and explain existing alerts without changing anything. If an alert should be created, disabled, or given new recipients, the AI employee waits for an explicit yes in Teams. You decide which LogRocket actions are sensitive and who is allowed to approve them.
Superkind is hosted in the EU and signs a GDPR data processing agreement with you. The AI employee receives only the minimum permissions needed for selected LogRocket projects. Your data is not used for training. Access and actions are logged so your team can trace which sessions, issues, and settings were used.
Paid LogRocket plans often sit in the low hundreds of euros per month, depending on data volume and features. Zapier starts at about 20 euros and Make at about 10 euros per month, both plus setup time and maintenance. Superkind is priced per use case, a fraction of a full-time role.