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Flagship Diagnostic Sprint

Customer Journey Path Audit

Our flagship diagnostic sprint. An intensive 10-to-14 day forensic investigation of your application's critical user pathways, event schemas, drop-off bottlenecks, and state transitions.

Customer Journey Path Audit
SERVICE_ID // CUSTOMER-JOURNEY-AUDIT • DIRECT DELIVERABLE

Service Overview & Purpose

The Customer Journey Path Audit is Console Vertex Point’s flagship analytical diagnostic. Designed specifically for production web and mobile applications with high transaction density, this engagement provides an exhaustive, engineer-led inspection of how real users traverse your application.

Rather than relying on high-level dashboard aggregates that hide behavioral variance, our analytics engineers directly ingest raw event telemetry, inspect frontend state machines, and reconstruct chronological user sessions to isolate the exact points where users encounter friction, abandon tasks, or loop unnecessarily.

Target Application Profiles

This audit is engineered for:

  • High-Transaction Web & Mobile Applications: E-commerce, FinTech, SaaS portals, and logistics apps where onboarding completion and checkout velocity directly determine business health.
  • Complex Multi-Step Workflows: Applications featuring multi-screen registration gates, identity verification (KYC) steps, subscription upgrades, or collaborative workspaces.
  • Platforms Experiencing Unexplained Drop-Offs: Teams whose aggregate metrics indicate user churn during critical flows, but whose existing dashboards fail to reveal the mechanical root causes.
  • Engineering Teams Refactoring Analytics: Organizations transitioning between analytics platforms (e.g., Amplitude, Mixpanel, PostHog, or internal BigQuery/Snowflake warehouses) seeking a verified baseline.

4-Phase Diagnostic Execution Schedule

[Phase 1: Telemetry Ingestion] ────> [Phase 2: Path Topology Extraction]
                 │                                      │
                 ▼                                      ▼
[Phase 4: Remediation Spec & Debrief] <──── [Phase 3: Root-Cause Forensic Scoring]

Phase 1: Telemetry Ingestion & Data Hygiene Verification (Days 1–3)

We begin by establishing secure, read-only access to your event streams, data warehouse tables, or analytics export feeds. We verify event payload integrity, identify missing timestamps or corrupted session identifiers, and establish a clean data baseline.

Phase 2: Path Topology & Sequence Extraction (Days 4–7)

Our team extracts all distinct chronological event sequences leading to target conversion goals. We map the canonical path against non-linear behaviors, identifying secondary pathways, recursive loops, and unplanned exits.

Phase 3: Friction Scoring & Root-Cause Forensics (Days 8–10)

Every significant drop-off node is analyzed against multiple dimensions:

  1. Device & Browser Matrix: Isolating JavaScript errors or rendering delays on specific hardware or viewports.
  2. Network Latency Conditions: Analyzing behavior under variable bandwidth constraints.
  3. Validation & State Conflicts: Pinpointing form field validation errors that fail to notify the user.

Phase 4: Remediation Blueprint & Executive Debrief (Days 11–14)

We synthesize all findings into a structured technical report containing visual state graphs, quantified friction impact calculations, and precise event schema updates. We conclude with a live technical debrief for your engineering, product, and leadership teams.


Technical Deliverables Package

Upon completion of the audit, your team receives:

  1. The Executive Journey Summary: High-level synthesis of primary conversion bottlenecks and their quantified business impact.
  2. The State & Path Topology Matrix: Interactive or vectorized flow diagrams mapping every valid state transition and identified loop.
  3. The Engineering Remediation Specification: Step-by-step technical guidance for frontend and backend engineers, including revised JSON event payloads, state-handling adjustments, and validation logic improvements.
  4. Clean Event Taxonomy Dictionary: An updated reference schema for all events evaluated during the audit.

Engagement Preparation & Client Requirements

To ensure rapid execution, the client team prepares:

  • Read-only export access or secure query access to event telemetry (e.g., BigQuery, Snowflake, Mixpanel, PostHog, or Segment warehouse sync).
  • Access to staging or production application builds for exploratory path verification.
  • A 45-minute discovery briefing with your product or engineering lead to define target journey boundaries.

Scope Boundaries & Engagement Terms

What Is Included

  • Full path topology mapping for up to 4 critical application user journeys
  • Raw event telemetry inspection (payload completeness, naming consistency, trigger accuracy)
  • Cross-device session stitching audit and identity resolution verification
  • Quantitative friction scoring across network conditions, device categories, and OS releases
  • Detailed state transition graph highlighting unauthorized loopbacks and dead-ends
  • Prioritized engineering remediation blueprint with exact code and event specification fixes
  • Live 90-minute technical walkthrough with your product, analytics, and engineering leads

What Is Excluded

  • × Direct code implementation into production repositories (provided as technical spec)
  • × Third-party ad campaign tracking or top-of-funnel acquisition SEO audits
  • × Ongoing data warehouse infrastructure maintenance or ETL pipeline hosting