Case Study

HeyEV Internal Systems

A product-led operational transformation that replaced fragmented spreadsheets and manual handoffs with a centralized internal system for loan, inventory, and service operations.

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Systems thinking · operational workflows · stakeholder alignment

Project overview

HeyEV had a distributed operational stack of Google Forms, spreadsheets, and manual updates that made loan administration, inventory tracking, and service coordination hard to scale. The goal was to translate those workflows into a practical internal system and deliver an MVP that teams could use immediately.

Problem space

Work moved through disconnected tools and manual handoffs. Operations teams spent more time reconciling data than using it, and service leaders lacked a consistent picture of what was happening on the ground.

  • Fragmented operational workflows across loan, inventory, and service
  • Manual status updates created inconsistent handoff timing
  • Limited visibility into ticket progress and resource load

Stakeholder discovery

The project began with deep discovery across operations, servicing, inventory, and finance teams to capture how work actually flowed and where decisions stalled.

Workshops and shadowing sessions surfaced high-priority friction points, aligned stakeholders on scope, and established the smallest useful system for the first rollout.

Operational Scale

Metrics that show the system needed to support real operational teams.

20+

Operational Centers

100–200

Active Users

5000+

Monthly Collection Transactions

400+

Monthly Service Tickets

20+

Operational Google Sheets Replaced

100+

Assets Managed Monthly

Before vs After

How work shifted from fragmented operations to centralized control.

Before

  • Google Forms
  • Multiple Operational Sheets
  • Manual Validation
  • WhatsApp Updates
  • Fragmented Reporting
  • Duplicate Data Entry

After

  • Centralized Systems
  • Structured Workflow States
  • Validation Logic
  • System-Based Tracking
  • Reporting Dashboards
  • Standardized Operations

Product development journey

A step-by-step path from discovery to production rollout.

1

Stakeholder Discovery

Capture operational needs, clarify ownership, and identify the most urgent workflow gaps.

2

Workflow Mapping

Document current processes and surface the handoff points that caused the most friction.

3

Flow Diagrams

Translate workflows into structured states, validation checks, and coordinated operational paths.

4

Wireframing

Iterate on a usable interface that reflects actual operational work rather than abstract features.

5

Engineering Feasibility Review

Validate constraints, confirm scope, and align the system plan with the delivery strategy.

6

Development

Build the MVP with a focus on the core workflow, data integrity, and operational handoffs.

7

Testing

Exercise the workflow with real data, capture issues, and ensure the system mirrored actual team behavior.

8

UAT

Validate the new process with frontline users and adjust the release based on operational feedback.

9

Production Rollout

Deploy the first version to operational teams while monitoring adoption and early issues.

10

Continuous Iteration

Refine the system with regular feedback loops and expand the solution to adjacent processes.

Product Artifacts

Operational systems were designed through stakeholder collaboration, workflow analysis, process mapping and iterative delivery.

These artifacts capture the evidence, decisions, and alignment that drove the system from discovery to implementation.

Workflow Diagram

Workflow Mapping

Mapped existing operational workflows across inventory, loan and service operations to identify bottlenecks, handoff failures and process inefficiencies.

Flow Diagram

System Flow Design

Defined operational states, transitions, ownership rules and validation checkpoints before development.

Wireframe Screenshot

Wireframing & Solution Design

Translated workflows into interface concepts and reviewed requirements with stakeholders before engineering implementation.

Review Session Artifact

Engineering Collaboration

Conducted requirement walkthroughs and KT sessions to align implementation with business expectations and technical feasibility.

Testing Evidence

Testing & Validation

Tracked defects, validated workflows and supported user acceptance testing before production rollout.

Key Outcomes

Business impact from a workflow-first operational rollout.

2 Days → Under 2 Hours

Inventory processing time reduced through clearer workflow states and validation checks.

Operational Sheets Consolidated

A centralized internal system reduced duplicate spreadsheets and created a single source of truth for operations.

Centralized Workflow Ownership

Defined clear ownership for each workflow state so teams could move work forward with accountability.

Standardized Operational States

Structured workflow stages improved handoffs and helped the team manage work consistently.

Improved Reporting Visibility

Operational reporting became more reliable, making it easier to spot bottlenecks and service issues.

What This Project Taught Me

Lessons learned from a workflow-led operational system.

Stakeholder alignment matters more than feature quantity.

Operational adoption is as important as technical implementation.

Shipping a focused MVP creates momentum faster than pursuing a perfect system.

Workflow clarity reduces downstream complexity.

Iterative feedback improves product quality significantly.

Role & Responsibilities

My contribution to the operational transformation.

Stakeholder Discovery
Requirement Gathering
Workflow Mapping
User Story Definition
Wireframing
Engineering Collaboration
Testing & Validation
UAT Support
Rollout Coordination

Outcomes & learnings

  • Replaced fragmented manual workflows with a centralized internal system built for operations.
  • Prioritized usable MVP delivery over perfection, enabling faster adoption and earlier feedback.
  • Strengthened stakeholder trust through discovery, review, and iterative collaboration.

Key learnings

Start with the actual workflow, not the UI. The system works when the process is clear.

Regular alignment with engineering keeps scope realistic and release-ready.

Phased rollout and UAT make operational systems easier to adopt across teams.