# Case Study: SaaS / E-Commerce Platform Launch Delivery Control

## Key facts
- **Role:** Independent Consultant — Product Launch Coordinator.
- **Period:** October 2021–May 2022.
- **Scope:** SaaS/e-commerce launch control across internal teams and external vendors.
- **Primary outcome:** A repeatable two-week testing, dependency, KPI, escalation, and go/no-go cadence.
- **Evidence:** Resume/profile records and professional references; client identity is protected by NDA.
- **Boundary:** Operating outcomes are qualitative; no revenue, conversion, adoption, or launch-performance metric is claimed.

## TL;DR
- Built a PMO-style control layer for a SaaS / e-commerce rollout.
- Ran a **2-week testing cadence** across internal teams and external vendors.
- Connected dependencies, KPI signals, risks, and go / no-go milestones in one launch view.
- Improved delivery visibility and escalation discipline; no public quantitative business-impact figure is claimed.

## Evidence and boundaries
- Role: Independent Consultant — Product Launch Coordinator, **2021-10 to 2022-05**; also reflected in [resume.json](/resume.json) and [profile](/profile.md).
- Client identity is held under NDA. Engagement scope and deliverables are self-reported and verifiable on request through professional references.
- The only quantitative operating claim is the **2-week sprint cadence**. Improvements in transparency, coordination, and risk visibility are qualitative.
- No revenue, conversion, adoption, or launch-performance metric is claimed for this engagement.

## Context
The rollout involved product, testing, delivery stakeholders, and external vendors working at different execution rhythms. The assignment covered launch coordination, iterative testing, performance tracking, and vendor follow-up.

## Challenge
The launch could not be controlled through a status report alone. Teams needed a common view of what was being tested, which dependency blocked the next milestone, what evidence supported go / no-go, and who owned the next decision.

## Delivery path

### 1. Set the operating cadence
I established 2-week testing cycles tied to launch milestones and decision points.

### 2. Build one dependency view
I coordinated internal teams and vendors through a shared action tracker covering owners, dependencies, status, and priority follow-up.

### 3. Connect KPIs to launch decisions
I used KPI-based monitoring to flag blockers and give stakeholders a consistent basis for go / no-go discussions.

### 4. Standardize escalation and reporting
I introduced a repeatable status format for progress, risks, decisions, and immediate actions so issues surfaced before they became schedule surprises.

## My contribution
- Coordinated the launch plan across internal and external delivery parties.
- Maintained the sprint, dependency, and action cadence.
- Consolidated KPI and risk signals for milestone decisions.
- Escalated unresolved blockers and clarified accountable owners.
- Kept stakeholder reporting focused on decisions and next actions rather than activity lists.

## Outcome
- Structured rollout execution through repeated 2-week testing cycles.
- Clearer cross-team visibility into dependencies and delivery risk.
- More consistent issue escalation and stakeholder reporting.
- A reusable PMO control pattern for iterative product launch work.

These are qualitative operating outcomes. Client commercial results remain confidential and are not inferred from delivery completion.

## Why it matters
Launch control came from connecting cadence to decisions:

**test cycle → dependency check → KPI review → blocker escalation → go / no-go milestone**

The case demonstrates private-sector launch coordination under NDA without substituting unsupported commercial metrics for delivery evidence.

## Related links
- [Main profile and CV](https://vassiliylakhonin.github.io/)
- [Services](https://vassiliylakhonin.github.io/services.html)
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