- Leading Digital Publisher: Jagran New Media is India's fastest growing Digital News & Information company, a leading publisher and multimedia content provider reaching 100* million Total Digital Population.
- Legacy & Credibility: Digital wing of Jagran Prakashan Limited (JPL), carrying an 80-year legacy of empowering readers and committed to providing real-time, credible news and multimedia digital content.
- Extensive Portfolio: Operates 12 digital-first platforms covering a wide array of topics including News, Information, Politics, Business, Auto, Technology, Entertainment, Sports, Education, Health, and Lifestyle.
- Strategic Vision: Mission to "be the largest platform for Internet users across the Hindi Heartland" and Vision for "Factual & Credible content that empowers ‘New Bharat’."
- Diverse Content Formats: Delivers content through live streaming, video news, real-time updates, web stories, podcasts, apps (e.g., Jagran Fatafat, Jagran Local), and subscription models.
- Innovation & Customization: Emphasizes Customisation & Personalisation, 360° Media Solutions, and In-House Brand Production, with a focus on leveraging AI-driven technology for efficiency.
- Massive User Engagement: Key brands like Jagran.com (36+ million users), Jagran Josh (21.7* million users), and HerZindagi (17.8+ million users) indicate high volume and varied user interactions.
Quality Engineering Excellence
Prepared for Anant & Team
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Projects Delivered
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Client Satisfaction
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Years Experience
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Bug Reduction
Hi Anant & Team,
As Jagran New Media continues its impressive trajectory as "India's fastest growing Digital News & Information company" with a "100 million Total Digital Population," maintaining unwavering quality and performance across your 12 diverse digital-first platforms is paramount. This proposal outlines a strategic approach to enhance your Quality Assurance, focusing specifically on Automation and Performance Testing, to ensure sustained credibility, real-time responsiveness, and an exceptional user experience that empowers 'New Bharat' through knowledge and information.
01 Business Context
02 Quality Risks & Gaps
- Regression Vulnerability: With a wide portfolio of 12 digital-first platforms and continuous real-time content updates, manual regression testing is impractical, leading to a high risk of undetected regressions impacting user experience and credibility across diverse content formats (news, video, podcasts).
- Release Cycle Bottlenecks: Manual testing processes for such a vast and rapidly evolving content ecosystem can significantly slow down release cycles, hindering the ability to deliver "real-time, credible news" and innovative features quickly.
- Performance Degradation Under Load: The "100* million Total Digital Population" and "real-time updates" across numerous platforms pose a significant risk of performance degradation (slow load times, unresponsiveness) during peak traffic events or sustained high concurrency, directly impacting user satisfaction and JNM's reputation for "credible content."
- Scalability Challenges: As "India's fastest growing Digital News & Information company," an unaddressed performance strategy could lead to scalability issues with new platform launches or increased user demand, especially for multimedia content like "live streaming" and "video news."
- Database & API Bottlenecks: The sheer volume of content and user interactions, coupled with "real-time data" and "in-depth news coverage," implies heavy reliance on robust backend systems and APIs. Without dedicated performance testing, critical bottlenecks in database interactions or API responsiveness could severely hamper platform stability.
- Inconsistent User Experience: Lack of comprehensive automation could result in inconsistent content display, functionality, or user experience across different devices, browsers, and regional language platforms (e.g., Hindi, English, Punjabi, Gujarati, Marathi, Tamil, Telugu, and 12 languages for Vishvas News).
- Impact on Measurable SLAs: Without a defined performance testing strategy and clear acceptance criteria, it becomes challenging to establish and meet "measurable SLAs" for critical platform functionalities, directly affecting "stable prod" and business commitments.
- Flaky Test Burden: As automation efforts grow organically without a strategic framework (e.g., test pyramid), the proliferation of flaky tests can erode confidence in the automation suite and increase maintenance overhead, reducing its effectiveness as a CI gate.
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03 Value Proposition Summary
| Area | What we do | Tooling/Method | Outcome |
|---|---|---|---|
| Automation Testing | Design, implement, and integrate robust automation frameworks. | Test Pyramid Approach, CI Gate Integration, Data-Driven Testing, Coverage Metrics, Flaky Test Reduction Strategies | Faster, more confident releases; Significant reduction in regressions; Consistent functionality across platforms. |
| Performance Testing | Identify and mitigate performance bottlenecks under various load scenarios. | API Load Tests, Concurrency Modeling, P95/P99 Analysis, Throughput Measurement, Soak Testing, Resource Utilization Monitoring | Stable production environments; High responsiveness for "real-time" content; Platforms ready for future growth & peak traffic. |
| QA Strategy & Ops | Provide strategic guidance for an efficient, scalable QA ecosystem. | Framework Customization, Process Optimization, Skill Enhancement, Reporting & Dashboards | Enhanced team efficiency; Measurable improvements in quality metrics; A culture of proactive quality. |
04 Automation Testing Strategy
| Layer | What to automate | Approach | KPI Impact |
|---|---|---|---|
| Unit/Component | Individual functions, modules, and content processing logic across various platforms. | Developer-driven, focused on business logic and data manipulation, integrated into development workflows. | Early defect detection, improved code quality, reduced debugging time. |
| API/Service | Core APIs for content delivery, user authentication, subscription management, search, real-time updates across all 12 platforms. | Contract testing, comprehensive functional and integration tests at the API layer, data validation. | Faster feedback, stable integrations, fewer UI-related regressions, improved system reliability. |
| UI (Web/Mobile) | Critical user journeys for news consumption, multimedia playback, subscription, search, local content access, and cross-browser/device compatibility. | Scenario-based end-to-end tests, visual regression for consistent UI across multiple languages, smoke tests for core functionality. | Faster regression cycles, improved user experience, reduced production defects, CI gate enforcement. |
| CI Gates & Flaky Test Reduction | Critical path regression tests, smoke tests, and performance sanity checks within the CI/CD pipeline. | Automated test execution post-commit/merge, intelligent test selection, robust element locators, retry mechanisms for transient failures, proactive test suite analysis. | Prevent broken builds, maintain high developer velocity, increase confidence in automation, reduce maintenance overhead. |
| Coverage & Reporting | Code coverage, requirement traceability, and automated test execution reports. | Integration with reporting tools for clear visibility into test coverage percentages and execution outcomes. | Deeper understanding of test gaps, informed release decisions, continuous improvement of test suite. |
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05 Performance Testing Strategy
| Scenario | Load Model | Metrics | Acceptance Criteria |
|---|---|---|---|
| Peak News Events/Traffic Spikes | Emulate sudden surges to X times average concurrent users (e.g., 5x for major breaking news, 10x for critical events). | Response Time (P95, P99), Throughput (RPS), Error Rate, CPU/Memory Utilization (App & DB Servers). | P95 Response Time < 1.5 seconds, Error Rate < 0.1%, Throughput sustains 10x average RPS with no service degradation. |
| General Content Browsing/Consumption | Simulate sustained concurrent users based on 100M total digital population and brand-specific user numbers (e.g., Jagran.com 36M users). | Page Load Time (P95), API Response Time (P99), Concurrency, Network Latency, DB Query Times. | P95 Page Load Time < 2 seconds, P99 API Response Time < 500ms, DB bottlenecks identified and optimized. |
| Multimedia (Video/Podcast) Streaming | Model concurrent users accessing and streaming video/podcast content on platforms like Rocketship Films, Jagran Manthan, Jagran Podcast. | Time to First Byte (TTFB), Buffer Rate, Streaming Start Time, Concurrent Streams Supported. | TTFB < 500ms, Buffer Rate < 1% for 99% of users, support concurrent streams for peak expected users. |
| Subscription & User Interaction (Login, Search) | Simulate concurrent users performing login, accessing exclusive content through subscription, and using chat-based search tools. | Transaction Response Time, Throughput, Error Rate for critical APIs, Database Contention. | Transaction Response Time < 1 second for 99% of requests, 0% errors on login/subscription APIs. |
| Soak Testing for Long-Term Stability | Sustained moderate to high load (e.g., 70-80% of peak capacity) over an extended period (24-72 hours). | Resource Utilization (Memory Leaks, CPU creep), Latency Trends, Garbage Collection Activity, DB Connection Pool Health. | No significant degradation in performance metrics, no memory leaks, consistent resource utilization, stable system uptime. |
| Caching Effectiveness | Test scenarios with varying cache hit/miss ratios to assess the impact of caching mechanisms on system performance. | Response Time (with/without cache), Cache Hit Ratio, Database Load. | Cache hit ratio > 85% for static and frequently accessed dynamic content, resulting in significant DB load reduction and faster response times. |
06 90-Day Roadmap
| Phase | Weeks | Activities | Deliverables |
|---|---|---|---|
| 1. Discovery & Strategic Alignment | 1-3 | Deep Dive: Conduct workshops with key JNM stakeholders (Product, Dev, Ops) to understand business goals, existing release cycles, and current QA processes for core platforms (e.g., Jagran.com, Jagran Josh, OnlyMyHealth). Architecture Review: Understand high-level architecture of critical content delivery, search, and multimedia platforms. Critical Journey Identification: Map critical user journeys and high-risk areas across selected platforms. |
Documented understanding of JNM's digital ecosystem, current QA challenges, and strategic priorities. Prioritized list of core platforms and critical user journeys for initial focus (Automation & Performance). Initial Quality Assessment Report. |
| 2. Framework Design & Pilot Implementation | 4-9 | Automation Framework Proposal: Design a scalable, maintainable automation framework following the Test Pyramid principle, focusing on API and critical UI paths. Performance Testing Strategy Definition: Define performance test scenarios, load models, and key metrics based on identified critical user journeys and anticipated peak traffic (100M+ user base). Tooling Evaluation & Setup: Propose and set up foundational automation and performance testing environments (avoiding specific tool names, focusing on capability). Pilot Test Case Development: Develop initial automated test cases for 1-2 critical API endpoints and a smoke test suite for a chosen core platform. Initial Load Scripting: Create load test scripts for 1-2 critical APIs or user flows (e.g., Jagran.com article view, API for real-time updates). |
Approved Automation Framework Blueprint. Defined Performance Test Strategy Document. Configured test environments. Initial, executable automated API & UI smoke tests. Baseline load test scripts for critical APIs. |
| 3. Expansion & Integration | 10-12 | Automation Suite Expansion: Expand the automated test suite to cover more regression scenarios across critical user journeys, focusing on data-driven approaches for diverse content. CI/CD Integration for Automation: Integrate the developed automation suite into JNM's existing CI/CD pipelines as "CI gates" to provide quick feedback. Initial Performance Test Execution & Analysis: Execute baseline load tests, analyze results against defined acceptance criteria (P95/P99, Throughput), and identify potential bottlenecks (e.g., DB, API). Flaky Test Reduction & Reporting Setup: Implement initial strategies for flaky test identification and resolution. Set up reporting dashboards for test execution results. |
Expanded Automation Regression Suite covering prioritized features. Automation tests integrated into CI/CD for selected platforms. Initial Performance Test Report with identified bottlenecks and actionable recommendations. Dashboard for automation and performance test results. |
Ready to Strengthen Automation & Performance?
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07 KPI & Success Metrics
| Metric | Baseline | Target | How Measured |
|---|---|---|---|
| Release Frequency | Current state | 2x increase | CI/CD pipeline metrics: Number of production deployments per month. |
| Production Defect Escape Rate | Current state | < 0.5% | Post-release defect logs: Number of critical/major defects reported in production. |
| Critical Regression Incidents | Current state | 0 per quarter | Incident management system: Count of Sev1/Sev2 incidents due to regressions. |
| Page Load Time (P95) | Current state | < 2 seconds | Performance test reports for key platforms, real-user monitoring data. |
| API Response Time (P99) | Current state | < 500 milliseconds | Performance test reports for critical APIs, backend monitoring tools. |
| System Uptime (Critical Platforms) | Current state | > 99.9% | Infrastructure monitoring tools, incident reports. |
| Automation Test Coverage | Current state | > 80% (API), > 60% (UI) | Test management system reports, code coverage tools. |
| Flaky Test Ratio | Current state | < 2% of total tests | Automated test execution logs, CI/CD pipeline reports. |
08 Engagement Approach & Next Steps
Our approach is built on collaboration, transparency, and a deep understanding of your mission to deliver "Factual & Credible content that empowers ‘New Bharat’." We believe in integrating seamlessly with your existing teams, sharing knowledge, and establishing sustainable QA practices that drive long-term value.
To initiate this partnership, we propose a preliminary meeting to:
- Deep Dive: Discuss the insights presented in this proposal and gather further context on Jagran New Media's immediate priorities and challenges.
- Align: Confirm the scope, roadmap, and desired outcomes.
- Plan: Outline the next steps for a successful engagement, starting with the Discovery & Strategic Alignment phase.
We are confident that with a focused approach on Automation and Performance Testing, Jagran New Media will not only accelerate its growth but also set new benchmarks for reliability and user experience in the digital news and information landscape.
We look forward to partnering with Anant & Team to build an even stronger, faster, and more resilient digital future for Jagran New Media.
Ready to Strengthen Automation & Performance?
Let’s align on your release pipeline, quality goals, and performance targets.
Limited Q1 2026 Slots Available