Packs

2 packs

User Segmentation Analysis

Install this pack to analyze diverse user feedback and identify at least 3 distinct behavioral and needs-based user segments.

4 skills · pack

Data analytics skills for PMs: SQL query generation and cohort analysis. Analyze user data, generate queries, and identify retention patterns.

3 skills · pack

Results for “user-id”

8 skills

mariadb-corporation

mariadb-information-functions

Reference for MariaDB information functions, covering session and server metadata such as LAST_INSERT_ID, ROW_COUNT, FOUND_ROWS, USER, and VERSION, with usage guidance for writing SQL that reads auto-increment IDs, row counts, and connection details.

cohort-analysis

Analyze user engagement and retention patterns by cohort to identify trends in user behavior, feature adoption, and long-term engagement.

xiaohongshu-user-profile

Extract Xiaohongshu (RedNote) user profile information and published notes list by user ID, returning nickname, bio, follower/following counts, engagement totals, tags, and paginated notes with engagement stats.

More results

google-analytics

Analyze Google Analytics data, review website performance metrics, identify traffic patterns, and suggest data-driven improvements. Use when the user asks about analytics, website metrics, traffic analysis, conversion rates, user behavior, or performance optimization.

mariadb-corporation

mariadb-create-user

Documents MariaDB-specific CREATE USER syntax and behavior, including authentication chaining, TLS options, resource limits, password expiry, and account locking, to help write accurate statements.

cohort-analysis

Perform cohort analysis on user engagement data — retention curves, feature adoption trends, and segment-level insights. Use when analyzing user retention by cohort, studying feature adoption over time, investigating churn patterns, or identifying engagement trends.

investigating-phishing-email-incident

Investigate phishing email incidents from initial user report through header analysis, URL/attachment detonation, impacted user identification, and containment actions using SOC tools like Splunk, Microsoft Defender, and sandbox analysis platforms.

24.6k · bundle

Analyze datasets to answer defined questions through statistical methods, trend identification, hypothesis testing, and correlation analysis. Use when the user needs evidence-backed findings or decisions from data; use exploratory-data-analysis instead for open-ended first-pass profiling before questions are defined.