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product analytics

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DataFunSummit
DataFunSummit
Mar 8, 2024 · Big Data

Building a User Profile Platform: Architecture, Tag System, and Service Applications

This article explains how to construct a user profile platform by describing its value, target users, core functions, tag data system, API services, lifecycle management, and practical insights from Q&A, offering a comprehensive guide for data product teams.

API servicesTag Managementdata platform
0 likes · 14 min read
Building a User Profile Platform: Architecture, Tag System, and Service Applications
Data Thinking Notes
Data Thinking Notes
Nov 23, 2023 · Big Data

How Data-Driven Metrics Transform Product Analytics and Decision-Making

This article explains how to build a data‑driven metric system—from defining end‑to‑start metrics and combining business and data drivers, to applying statistical analysis, machine‑learning, causal inference, and practical case studies for alerting, diagnosing, and strategizing product performance.

Data-Drivencausal inferencemachine learning
0 likes · 22 min read
How Data-Driven Metrics Transform Product Analytics and Decision-Making
DataFunSummit
DataFunSummit
Oct 26, 2023 · Big Data

Data‑Driven Metric System Construction and Application: Theory, Methods, and Real‑World Cases

This article explains how to build and apply a data‑driven metric system, covering end‑to‑end design principles, business‑ versus data‑driven approaches, frameworks such as OSM, GSM and HEART, statistical and machine‑learning techniques, causal inference, and practical case studies that illustrate alerting, diagnosis, and strategy deployment in product operations.

Big DataData-Drivencausal inference
0 likes · 21 min read
Data‑Driven Metric System Construction and Application: Theory, Methods, and Real‑World Cases
DataFunSummit
DataFunSummit
Sep 27, 2023 · Product Management

A Decade of User Growth in the General Entertainment Industry and Its Application to Tencent Video

This article reviews ten years of user growth (UG) development in the general entertainment sector, outlines three historical stages, and then details how Tencent Video sets realistic goals, integrates resources, designs growth plans, measures outcomes, and applies advanced attribution, revenue splitting, LTV modeling, and experimental validation to drive sustainable growth.

AttributionExperimentationLTV Modeling
0 likes · 15 min read
A Decade of User Growth in the General Entertainment Industry and Its Application to Tencent Video
DaTaobao Tech
DaTaobao Tech
Sep 8, 2023 · Product Management

BPPISE Framework for Product Data Science Case Studies

The fourth article in a ten‑part Taobao series introduces the BPPISE framework—Business, Problem, Data, Insight, Strategy, Evaluation—as a product‑data‑science case structure, contrasting it with CRISP‑DM, detailing each stage, offering writing tips, and noting the team’s recruitment for data‑science talent.

BPPISECase StudyData Science
0 likes · 9 min read
BPPISE Framework for Product Data Science Case Studies
DataFunSummit
DataFunSummit
Jul 13, 2023 · Product Management

Growth Analysis Methodology and Practice: Building Metric Systems and Closing the Analysis Loop

This article presents a comprehensive guide to growth analysis, covering basic methodologies, construction of a growth metric system, end‑to‑end analysis loops, practical case studies, emerging metric scenarios, and the upgraded professional version of the growth analysis platform.

A/B testingGrowth Metricsdata-driven growth
0 likes · 22 min read
Growth Analysis Methodology and Practice: Building Metric Systems and Closing the Analysis Loop
Qunhe Technology User Experience Design
Qunhe Technology User Experience Design
Mar 3, 2023 · Product Management

How to Measure User Experience Efficiently: Core Path Tracking & Metric Analysis

This article explains why full‑stack user behavior tracking is often impractical, introduces a low‑cost core‑path instrumentation approach, defines key experience metrics, presents layered and cross‑matrix analysis methods, and shares a concrete product case study that demonstrates how to turn data into actionable business insights while saving technical, communication, and analysis costs.

Data-Drivencore pathmetric tracking
0 likes · 12 min read
How to Measure User Experience Efficiently: Core Path Tracking & Metric Analysis
DataFunSummit
DataFunSummit
Jan 30, 2023 · Fundamentals

Understanding AB Testing: Design, Execution, and Analysis

This article explains the purpose, methodology, and practical examples of AB testing, describing how randomized traffic segmentation, logging, and metric analysis enable data‑driven product decisions across various industries while also noting its widespread adoption and promotional resources.

AB TestingData-Drivenexperiment design
0 likes · 7 min read
Understanding AB Testing: Design, Execution, and Analysis
DataFunTalk
DataFunTalk
Jan 23, 2023 · Fundamentals

Understanding A/B Testing: Purpose, Process, and Practical Examples

A/B testing is a scientific method for product iteration that uses random user grouping, traffic segmentation, and metric analysis to derive representative conclusions, widely applied across major tech companies for evaluating ROI, with detailed workflow, example scenarios, and guidance on design and analysis.

A/B testingData-Drivenexperiment design
0 likes · 5 min read
Understanding A/B Testing: Purpose, Process, and Practical Examples
DataFunTalk
DataFunTalk
Nov 27, 2022 · Product Management

Challenges of Traditional Experiment Systems and the Vision for Next‑Generation Evaluation Platforms

The article examines why classic A/B testing frameworks struggle with modern internet services—highlighting issues of intervention, measurement, and analysis—while proposing an observational, dynamic, and decision‑oriented next‑generation experiment system that leverages statistical learning and Bayesian optimization.

A/B testingBayesian Optimizationexperiment platform
0 likes · 11 min read
Challenges of Traditional Experiment Systems and the Vision for Next‑Generation Evaluation Platforms
DataFunTalk
DataFunTalk
Nov 11, 2022 · Product Management

Data Tracking (埋点) Application Scenarios, Workflow, and the Seven‑Word Guideline

This article explains the concept of data tracking (埋点), outlines its key application scenarios such as exposure, click, and page‑event tracking, describes the end‑to‑end workflow from requirement gathering to deployment and post‑analysis, and summarizes the practical “seven‑word” checklist for successful implementation.

data collectiondata trackingproduct analytics
0 likes · 12 min read
Data Tracking (埋点) Application Scenarios, Workflow, and the Seven‑Word Guideline
Dada Group Technology
Dada Group Technology
Sep 30, 2022 · Product Management

Best Practices for Data Tracking Governance at JD Daojia: Process, Standards, and Quality Improvements

This article outlines JD Daojia's comprehensive approach to data tracking (埋点) governance, covering the definition, motivations, unified processes, detailed standards, quality controls, platform optimizations, measurable benefits, and future directions to ensure high‑quality, reliable analytics across multiple client platforms.

Process Standardizationdata trackinggovernance
0 likes · 13 min read
Best Practices for Data Tracking Governance at JD Daojia: Process, Standards, and Quality Improvements
Architecture Digest
Architecture Digest
Jul 12, 2022 · Big Data

Intelligent Gray Release Data System for Vivo Game Center: Methodology and Solutions

This article presents Vivo Game Center's end‑to‑end intelligent gray‑release data system, detailing its experimental mindset, statistical methods, data models, and product solutions that ensure scientific version evaluation, project progress, and rapid issue closure through root‑cause analysis and full‑process automation.

A/B testingdata analysisgray release
0 likes · 18 min read
Intelligent Gray Release Data System for Vivo Game Center: Methodology and Solutions
Beike Product & Technology
Beike Product & Technology
Apr 8, 2022 · Product Management

Effective Reading Duration and Screen Count Metrics for Mobile App Content

The article explains how to define, collect, and calculate effective reading duration and screen count for mobile app H5 content using event timestamps, formulas, fragment reporting, and aggregation methods to improve content quality analysis and visualization.

Mobile Appdata aggregationevent tracking
0 likes · 9 min read
Effective Reading Duration and Screen Count Metrics for Mobile App Content
DataFunSummit
DataFunSummit
Feb 5, 2022 · Artificial Intelligence

Causal Analysis: Challenges, Methodology, and Practice at Beike

This article introduces causal analysis, outlines its major challenges such as correlation versus causation, confounding factors, and selection bias, explains a three‑step framework (association, intervention, counterfactual), and details how Beike applied these principles in a smart client‑management tool with rigorous A/B experiments.

AB TestingAIBeike
0 likes · 14 min read
Causal Analysis: Challenges, Methodology, and Practice at Beike
DataFunTalk
DataFunTalk
Jan 20, 2022 · Product Management

User Lifecycle Management: Definitions, Segmentation, Metrics, and Operational Strategies

This comprehensive guide explains user lifecycle concepts, including definitions of lifetime and LTV, segmentation methods, stage-specific operational tactics, system architecture, and key performance indicators to help product teams optimize acquisition, growth, retention, and revenue across the entire user journey.

LTVgrowth strategyproduct analytics
0 likes · 14 min read
User Lifecycle Management: Definitions, Segmentation, Metrics, and Operational Strategies
ByteDance Data Platform
ByteDance Data Platform
Jan 14, 2022 · Product Management

Why A/B Testing Matters: Theory, ByteDance Architecture & Best Practices

This article explains why A/B testing is crucial for data‑driven product decisions, outlines ByteDance’s A/B testing system architecture across multiple layers, describes client‑ and server‑side experiment workflows, shares statistical best practices, and presents real‑world case studies illustrating hypothesis generation, evaluation, and future industry trends.

A/B testingByteDanceData-Driven
0 likes · 15 min read
Why A/B Testing Matters: Theory, ByteDance Architecture & Best Practices
DataFunTalk
DataFunTalk
Nov 1, 2021 · Product Management

Online Experiment Design and Analysis: Practices, Case Studies, and Guidelines from Tencent Data Platform

This article presents a comprehensive overview of online experiment design and analysis, covering basic definitions, AB testing principles, complex experiment types, real-world case studies from Tencent's information flow platform, and practical guidelines for reliable experiment evaluation and product decision‑making.

A/B testingcausal inferenceexperiment analysis
0 likes · 21 min read
Online Experiment Design and Analysis: Practices, Case Studies, and Guidelines from Tencent Data Platform
Liulishuo Tech Team
Liulishuo Tech Team
Oct 26, 2020 · Fundamentals

Causal Inference Methods for Quantifying Product Impact in Data Analytics

This article explains how data analysts can use experimental and observational research methods, including randomized controlled trials, quasi‑experiments, difference‑in‑differences, regression discontinuity, synthetic control, and Bayesian structural time‑series, to assess the causal impact of product and marketing changes on business metrics.

AB TestingDifference-in-Differencescausal inference
0 likes · 7 min read
Causal Inference Methods for Quantifying Product Impact in Data Analytics