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Systems designed towork in the real world.

Selected work across business, operations and technology, from designing operating models and performance systems to building a business from the ground up.

The focus is not only on what was delivered, but on the systems behind the outcome: how they were designed, operated, measured and improved.

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Sales Quality &Performance System

Turning sales quality into a measurable system for performance diagnosis and continuous improvement.

Sales results show what happened. They do not always explain why it happened. The challenge was to connect real sales behavior with quality assessment, performance information and targeted improvement actions.

I designed and owned the system across call review, quality evaluation, role-play, coaching, training, sales meetings and performance measurement, creating a repeatable cycle for identifying gaps, acting on them and evaluating what changed.

Performance improvement loop

  1. Observe
  2. Assess
  3. Diagnose
  4. Coach
  5. Practice
  6. Re-evaluate
  7. Measure
  8. Improve

Quality framework

Standardized review of real sales interactions and observable selling behavior.

Performance model

Commercial results, activity and quality signals combined to create a clearer view of performance.

Coaching loop

Specific findings translated into feedback, practice and recurring evaluation.

Sales enablement

Training, role-play and supporting materials built around observed performance needs.

Performance diagnosis

  1. Activity
  2. Quality
  3. Conversation progression
  4. Opportunity
  5. Conversion
  6. Result

Where is performance actually breaking down?

Performance view

Results plus activity plus quality plus consistency equals performance view

Performance was treated as a combination of results, activity, quality and consistency rather than a single output metric.

System-level insight

A recurring individual problem can become a team-level signal.

When the same performance gap appeared repeatedly, the question shifted from individual coaching to whether training, process or enablement needed to change.

System components

  1. Quality frameworkCall review · Quality evaluation
  2. Performance modelResults · Activity · Quality · Consistency
  3. Coaching loopFeedback · Practice · Re-evaluation
  4. Sales enablementTraining · Coaching · Sales meetings

The system created a repeatable structure for connecting observed sales behavior with diagnosis, targeted development actions and measurable improvement.

It created clearer visibility into individual and team development needs while connecting quality findings with coaching, training and performance conversations.

The goal was not to score salespeople. It was to understand performance well enough to improve it.

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Building a CommerceBusiness from Zero

Building the commercial system behind a direct-to-consumer home-textile venture while experiencing the realities of entrepreneurship first-hand.

Dolce.ev started without an inherited operating model, customer base or commercial infrastructure. Product selection, pricing, logistics, payments, digital infrastructure, customer acquisition and the economics connecting them had to be built from the ground up.

As co-founder, I work across strategy, commerce, operations and growth, testing assumptions against market behavior and adapting the system as new evidence appears.

Building the business

  1. Idea
  2. Product
  3. Economics
  4. Infrastructure
  5. Go to market
  6. Customer
  7. Learn
  8. Adjust

Entrepreneurial loop

  1. Assume
  2. Build
  3. Spend
  4. Sell
  5. Measure
  6. Learn
  7. Adjust

Commerce economics

Understanding the real cost of selling by connecting product cost, tax, payment fees, shipping, acquisition and margin conceptually.

Pricing & basket design

Designing channel-aware pricing and basket economics rather than treating price as a standalone number.

Commerce infrastructure

Building the storefront, catalog, payment, marketplace and operational foundations required to take products to market.

Go-to-market

Testing products, offers and acquisition assumptions against market behavior and adjusting from evidence.

Commerce economics

Product cost plus tax plus payment plus shipping plus acquisition plus channel cost equals real cost to sell

Selling price minus real cost to sell equals contribution

Basket economics

Shipping costs pushed the commercial model beyond individual product margin. Basket structure, multi-product orders and the free-shipping threshold became part of the pricing problem rather than separate logistics decisions.

Channel economics

Price changes with the economics of the channel.

Direct store

Payment
Shipping
Acquisition

Marketplace

Commission
Shipping
Campaign pressure
Marketplace economics

What building it taught me

  • Revenue is not margin.
  • Inventory is a capital-allocation decision.
  • Small costs compound quickly.
  • Customers invalidate assumptions.

Current state

Preparing for reactivation.

Dolce.ev is an established commerce venture currently dormant, with work underway to reactivate and continue building it.

System components

  1. Commerce economicsCost · Margin · Channel economics
  2. Pricing & basket designPricing · Basket · Shipping threshold
  3. Commerce infrastructureStore · Catalog · Payments · Marketplaces
  4. Go-to-marketOffer · Acquisition · Learning

We turned an initial product idea into a commerce system that could be tested against real market behavior.

The work connected product, pricing, logistics, payments, customer acquisition and unit-economics thinking while creating a practical environment for learning from commercial decisions.

Dolce.ev is both a venture and a learning environment.

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Areas of impact

The contexts change, but the work repeatedly comes back to a small set of problems: how systems are designed, how performance is understood, and how better decisions become better execution.

  1. Operating systems

    How should the operation work?

    Designing the processes, ownership, decision points and feedback mechanisms that allow an operation to function with greater clarity and consistency.

  2. Performance & measurement

    How do we know what is working?

    Building measurement structures that connect activity, behavior and outcomes so performance can be understood rather than simply reported.

  3. Commercial systems

    Does the economic model work?

    Connecting pricing, cost, margin, channel economics and commercial decisions into a structure that can survive real operating conditions.

  4. Product & process design

    What should be built or changed?

    Translating operational, seller and customer needs into clearer workflows, product requirements and practical system improvements.

  5. Cross-functional operations

    How do different functions move together?

    Creating enough shared structure for operational, commercial, product, financial and legal dependencies to move toward the same outcome.

  6. Building from zero

    What happens when there is no existing system?

    Turning an idea into something operational by making decisions, building infrastructure, taking risk, testing assumptions and adapting through evidence.

Next

The work is different each time.
The approach is not.

Understand the problem.Design the system.Put it into real operation.Measure what happens.Improve from there.