Skip to content
ViperScan
GitHub

ViperScan Roadmap

Rapid Development, Real Impact. Our streamlined roadmap ensures a fast MVP launch with continuous improvements.
Get Started

ViperScan Roadmap

  1. Tracking Validation
    1.1 Analytics Integration ✅

    • Integrate major platforms including:
      • Google Analytics
        • ✅ Validate both Universal Analytics and GA4 code snippets.
        • ❌ Ensure properties, views, and event tracking are correctly configured.
        • ✅ Test pageviews, events, and conversion tracking across multiple environments.
      • Meta Pixel
        • ✅ Confirm proper installation on key pages.
        • ❌ Verify conversion event tracking and custom audience setup.
        • ❌ Test event firing using browser developer tools.
      • Bing and Other Platforms
        • ❌ Implement integration with Bing Webmaster Tools and additional trackers.
        • ✅ Validate tag firing and ensure data consistency across platforms.
    • ✅ Automate code snippet verification to ensure asynchronous loading and non-blocking behavior.

    1.2 Event & Tag Monitoring 🟡

    • 🟡 Implement comprehensive event tracking covering user interactions such as clicks, form submissions, and custom events.
    • 🟡 Deploy automated test suites to simulate user behavior and validate tag firing accuracy.
    • 🟡 Integrate browser debugging tools to log and diagnose misfires or configuration errors.

    1.3 Real-time Diagnostics ❌

    • ❌ Develop a live monitoring dashboard to display tracking performance metrics in real time.
    • ❌ Set up alerting mechanisms (via email, SMS, or in-app notifications) to flag discrepancies immediately.
    • ❌ Integrate data stream analysis to detect anomalies in event frequency and tag behavior.

    1.4 Custom Tag Mapping ❌

    • ❌ Provide a user interface for defining custom tracking rules for non-standard events.
    • ❌ Allow mapping of custom events to specific tracking systems or third-party integrations.
    • ❌ Implement a testing environment to validate custom tag configurations before live deployment.
    • ❌ Enable detailed logging and error reporting for custom tag activities to aid troubleshooting.

    1.5 Spec Creation & Automated QA ❌

    • ❌ Introduce a spec creation tool that lets users define expected analytics behavior and event triggers.
    • ❌ Automatically generate QA cases based on the provided specifications, covering page loads, click events, and form interactions.
    • ❌ Allow users to tweak and customize the auto-generated QA cases to better fit their unique setups.
    • ❌ Integrate the QA cases into the analytics validation process, enabling per-page reports that detail what worked and what didn’t.
    • ❌ Provide detailed insights on discrepancies, including missed events and improper tag firings, to facilitate quick troubleshooting.

  2. SEO Enhancements
    2.1 Metadata & Structured Data Audits ✅

    • ✅ Extract and validate all meta tags including:
      • Title Tags: Ensure optimal length, uniqueness, and keyword placement.
      • Meta Descriptions: Check for missing, duplicate, or overly long descriptions.
      • Canonical Tags: Validate proper implementation to prevent duplicate content issues.
      • Open Graph & Twitter Cards: Confirm correct formatting for social media previews.
    • ✅ Audit structured data implementations including:
      • Schema Markup: Detect and validate JSON-LD, Microdata, and RDFa.
      • Breadcrumb Schema: Ensure proper hierarchical structuring for enhanced SERP results.
      • Product, Article, FAQ, and Review Schema: Identify missing or incorrect structured data attributes.
    • ✅ Generate detailed reports highlighting errors, warnings, and best practices for metadata and structured data improvements.
    • ✅ Create instructional articles to guide users through resolving each detected issue.

    2.2 Core Web Vitals Analysis 🟡

    • 🟡 Measure and analyze Google’s Core Web Vitals including:
      • Largest Contentful Paint (LCP): Identify slow-loading elements and suggest optimizations.
      • First Input Delay (FID): Detect JavaScript execution delays affecting interactivity.
      • Cumulative Layout Shift (CLS): Find unstable elements causing layout shifts.
    • 🟡 Assess additional performance factors including:
      • Total Blocking Time (TBT): Highlight render-blocking scripts and CSS.
      • Time to First Byte (TTFB): Report on server response time issues.
    • 🟡 Provide automated insights and detailed remediation steps for each identified performance bottleneck.
    • 🟡 Develop content guides explaining how to improve Core Web Vitals for different site architectures (WordPress, Shopify, custom-built sites, etc.).

    2.3 AI-driven SEO Suggestions ❌

    • ❌ Leverage machine learning models to analyze site structure and suggest improvements for:
      • Internal Link Optimization: Recommend key pages that need better interlinking.
      • Keyword Targeting & Density: Compare against top-performing competitor pages.
      • Content Gaps & Opportunities: Identify underutilized search terms and recommend content expansion.
    • ❌ Develop an AI-driven keyword mapping tool that automatically aligns content with intent-based ranking factors.
    • ❌ Generate AI-powered recommendations for missing or under-optimized schema markup.

    2.4 Competitor Benchmarking ❌

    • ❌ Enable domain-level comparisons with competitors for key SEO metrics including:
      • Page Authority & Domain Authority: Compare overall site strength.
      • Backlink Profiles: Identify referring domains competitors leverage.
      • Content Performance: Analyze which pages and topics drive the most traffic for competitors.
    • ❌ Develop industry-specific benchmarking tools to compare SEO health against competitors in similar niches.
    • ❌ Provide competitor-driven insights, suggesting targeted strategies for improving rankings based on industry trends.

  3. Performance Insights
    3.1 Site Speed & Load Testing 🟡

    • 🟡 Measure page load speeds under different conditions including:
      • First Contentful Paint (FCP): Time taken for the first visual content to render.
      • Time to Interactive (TTI): When the page becomes fully usable.
      • DOMContentLoaded (DCL): Time taken for the HTML document to be fully loaded and parsed.
    • 🟡 Simulate real-world user interactions with load testing for:
      • Desktop vs. Mobile Performance: Separate evaluations for different device types.
      • Network Speed Simulation: Test under various network conditions (3G, 4G, Wi-Fi).
      • Third-Party Resource Impact: Evaluate how third-party scripts affect performance.
    • 🟡 Generate visual waterfall charts highlighting render-blocking elements.
    • 🟡 Develop in-depth remediation guides on optimizing speed for common CMS platforms (WordPress, Shopify, Magento, etc.).

    3.2 Resource Optimization ❌

    • ❌ Analyze and provide recommendations for optimizing:
      • Image Optimization:
        • Convert images to WebP/AVIF format.
        • Resize oversized images and use responsive formats.
        • Implement lazy loading for below-the-fold assets.
      • JavaScript & CSS Minification:
        • Identify large JS files and unused CSS.
        • Recommend deferring or asynchronously loading scripts.
      • Font Optimization:
        • Reduce excessive font files and optimize web font delivery.
    • ❌ Identify excessive server requests and suggest ways to reduce them through batching, caching, and preloading critical resources.
    • ❌ Integrate with Core Web Vitals to track the impact of resource optimization efforts.

    3.3 Real-time Performance Alerts ❌

    • ❌ Develop a real-time monitoring system to track performance fluctuations over time.
    • ❌ Set up automatic alerts for significant drops in:
      • Page load speed
      • Core Web Vitals metrics
      • Third-party resource failures
    • ❌ Integrate alerts via email, Slack, or webhooks for real-time notifications.
    • ❌ Allow users to configure alert thresholds based on business-specific needs.

    3.4 Progressive Enhancement Audits ❌

    • ❌ Ensure sites deliver a functional experience on all device types by testing:
      • Graceful degradation on older browsers (fallbacks for missing features).
      • Progressive enhancement for modern features (e.g., lazy-loaded images, service workers).
      • Accessibility-related performance optimizations (reducing animation motion for users with disabilities).
    • ❌ Provide specific recommendations for optimizing progressive web apps (PWAs).
    • ❌ Develop best practice guides on ensuring smooth performance across a wide variety of browsers and devices.

  4. Compliance Checks
    4.1 GDPR/CPRA Compliance Audits ❌

    • ❌ Automatically detect and review compliance issues for global privacy laws, including:
      • GDPR (Europe): Consent management validation, cookie usage analysis, and data retention compliance.
      • CPRA (California, USA): Compliance with new consumer rights, opt-out requirements, and data transparency.
      • PIPEDA (Canada): Verification of lawful consent handling and privacy disclosures.
      • Other global privacy laws (Brazil’s LGPD, India’s PDPB, etc.) to ensure coverage across multiple jurisdictions.
    • ❌ Analyze cookie banners, tracking scripts, and consent mechanisms to ensure full compliance.
    • ❌ Provide automated flagging for third-party scripts that collect user data without explicit consent.
    • ❌ Develop remediation guides for businesses to quickly adjust their policies and website implementations.

    4.2 Accessibility (WCAG) Standards ❌

    • ❌ Conduct automated and manual accessibility audits to ensure compliance with:
      • WCAG 2.1 / 2.2 AA & AAA Standards for screen reader compatibility, keyboard navigation, and contrast ratios.
      • ARIA Attribute Validation: Ensure correct implementation of assistive technology attributes.
      • Automated Page Scans: Detect missing alt text, improper heading structures, and form input issues.
    • ❌ Develop best practice guides for developers, marketers, and compliance officers to improve accessibility.
    • ❌ Provide a compliance score with a breakdown of violations and suggested fixes per page.

    4.3 Automated Risk Assessment ❌

    • ❌ Develop an AI-driven privacy risk assessment engine that:
      • Flags Potential Compliance Risks by scanning for unauthorized data collection and transmission.
      • Evaluates Third-Party Service Risks for advertising, tracking, and CRM integrations.
      • Detects Personally Identifiable Information (PII) Exposures in form submissions, APIs, and JavaScript tracking.
    • ❌ Assigns a dynamic risk score based on data privacy violations and regulatory non-compliance.
    • ❌ Generates in-depth reports on potential legal exposure and required remediation steps.

    4.4 Custom Compliance Configurations ❌

    • ❌ Enable businesses to tailor compliance checks to their specific industry or location, covering:
      • E-commerce regulations (PCI DSS, consumer protection laws).
      • Healthcare compliance (HIPAA for US, GDPR health data protections).
      • Financial sector requirements (SOX, PSD2 for EU banking security).
    • ❌ Allow multi-region compliance validation for companies operating in multiple countries.
    • ❌ Provide a live update system to track upcoming regulatory changes worldwide and adjust compliance rules dynamically.

  5. Custom Reporting & Integrations

    • Actionable Reports:
      Generate detailed, easy-to-digest reports that provide clear guidance on areas for improvement.
      Status: 🟡 (In Progress)
    • Historical Data Archiving:
      Archive previous reports to track performance over time and identify trends.
      Status: ❌ (Planned)
    • API & Third-Party Integrations:
      Enable seamless data export and integration with external dashboards and analytics platforms.
      Status: ❌ (Planned)
    • Customizable Reporting Templates:
      Allow users to generate reports tailored to their specific needs and branding.
      Status: ❌ (Planned)

⏳ Overall Timeline

Phase 1: MVP Launch (Weeks 1-4)

  • Complete core tracking validation, basic SEO audits, and initial performance insights.
  • Soft launch with a small group of paid customers to validate the MVP.

Phase 2: Rapid Expansion & Iteration (Weeks 5-8)

  • Roll out remaining features (Compliance Checks & Custom Reporting integrations).
  • Gather user feedback and iterate quickly on stability and quality.
  • Expand outreach and onboard additional customers as the platform stabilizes.

Our goal is to transition from concept to a fully functional MVP in just 2 months, proving stability and quality with early adopters before scaling rapidly.

Get Started Now