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Process

From exported data to a plan your team can act on.

Five structured steps — defined scope, careful analysis, and a clear report. Scope and timeline are confirmed during the discovery call based on your operation's complexity.

How we work

We collect the right context, read the exported data carefully, and turn the result into practical priorities.

DTC brands, Shopify stores, and startups are often strong fits, but the process is meant to support any growing team that needs better support structure without unnecessary complexity.

What we review

  • Stakeholder interviews and management context
  • Agent and frontline support input
  • Workflow and queue observation
  • Tool usage and communication review

Five Steps

The Fraga Ops Studio process.

Each step is designed to keep the audit easy to understand, easy to communicate internally, and easy to act on.

01

Discovery

We align on business context, support pressure points, current tools, and the right audit scope before the work starts.

02

Data and Context Review

You export ticket data from your helpdesk in CSV, XLSX, or JSON format. We load it into our in-house analysis tool, cross-reference with your workflow context, and surface the patterns — no access to your live systems required.

03

Diagnosis

We identify bottlenecks, repetitive contact drivers, quality gaps, and the patterns that are hurting efficiency or customer experience.

04

Audit Report

You receive a structured performance report with findings, priorities, and the operational story behind the numbers.

05

Action Plan and Optional Support

We translate findings into practical next steps, quick wins, and optional support if the team needs help carrying the changes forward.

Data Compatibility

Compatible with common support platforms.

The analysis is designed for structured exports — CSV, XLSX, or JSON — not for forcing teams into a different helpdesk first.

Common export sources

  • Gorgias
  • Zendesk
  • Freshdesk
  • Intercom
  • Help Scout
  • Kustomer
  • Re:amaze
  • Shopify Inbox
  • Gmail
  • CSV · XLSX · JSON exports

Our in-house analysis tool

Built to process exported ticket data and surface what matters.

We built our own internal tool to process exported ticket data and surface the patterns, friction points, and operational signals that matter most.

It runs entirely within our local environment — no cloud services, no third-party APIs, no external data processing. Your exported data is analyzed on our end and never transmitted elsewhere.

Supported formats: CSV, XLSX, and JSON exports from any helpdesk or inbox.

Outputs

What comes out of the work.

The end of the process should leave the client with something concrete, not just a set of observations.

Performance report

A clear picture of how support is currently operating.

We organize operational findings, recurring bottlenecks, stakeholder context, and customer experience risks into a report leadership can review with confidence.

Action plan

Practical priorities for improvement.

  • Detailed audit report
  • Key insights and bottlenecks
  • Workflow recommendations
  • Support templates and macros
  • Quick wins
  • Optional implementation guidance

Next step

If you want to understand what is holding support back, we can define the right audit scope together.