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From 15 Disconnected Tools to One

for IPSOS

Time: 2 designers for 2 years

Tags: Enterprise, Workflow Design

The problem

Ipsos grew into a global research enterprise spanning 50+ countries, regional teams, acquisitions, and independently evolving operational systems.

Project setup lived in one tool.
Quoting in another.

Staffing, field execution, reporting, and billing each operated through separate workflows, data structures, and logic.

The operational backbone became a patchwork of:

  • Homegrown software
  • Acquired platforms
  • Spreadsheets
  • Email coordination
  • Manual handoffs
  • Duplicated workflows
Ipsos Research Workflow
Current state — 8 stages, ~152 stepsMore sub-steps inside
01Pitch &
Quote
Pitch
Quotation & basic audience definition
Feasibility (online)
Jobs & billing schedule
02Setup &
Planning
Questionnaire preparation
Tracker wave, brand lists & metadata
Sample & Quota definition
Research scheduling
Research scheduling
OPS resource assignment, Capacity planning
03Survey
Preparation
Questionnaire scripting
Translation
Media Setup
Quota Setup
QA Test link
04Data
Collection
Online Data Collection
Online Field Monitoring
F2F Scheduling & Data Collection & QA
Telephone Data Collection
Telephone Scheduling & QA
05Data
Preparation
Data Processing
Coding
06Data
Analytics
Analytics workstream
Social media workstream
Client database merge
07Insights &
Reporting
Core report
Custom insights
08Delivery
to Client
Final report
Client insights
Dashboard handoff

The actual system of record was often Excel.

As projects evolved mid-execution, critical context was repeatedly lost between systems.
Leadership lacked real-time operational visibility across the lifecycle of the work.

Each tool solved a local problem.
Few solved the enterprise one.

Designing the Operational Backbone

GoInvo partnered with Ipsos to help design a more connected operational foundation:

Reducing friction,
Improving visibility,
And creating continuity across the quote-to-execution lifecycle.

This was not a dashboard redesign.
It was systems work:

  • Workflow architecture
  • Operational modeling
  • Interaction design
  • Shared UI systems
  • Organizational alignment

Early principles included:

  • Shared object definitions and APIs
  • Reusable workflow patterns
  • Interaction design
  • OHIO (“Only Handle Information Once”)
  • Operational flow inspired by logistics systems like FedEx
A spiral diagram on a starfield background illustrates how KPIs scale from atomic to galactic levels. Starting from a single point labeled "Completes are an atomic unit," rings expand outward and upward through Wave, Questionnaire, Project, Programs, Geo/Countries, and Galactic, with Client, Product Line, and Product as additional dimensions — showing how a single survey response aggregates into organization-wide metrics.
Ipsos Flow's KPI architecture

The challenges

How should users experience continuity across systems whose underlying operational states constantly change?

A quote becomes a sold project.
A sold project becomes a staffed execution.
Execution evolves across waves, markets, budgets, and delivery realities.

Technically, these were different objects.
Operationally, users experienced them as one evolving project.

That insight shaped the platform:

User continuity over object fidelity.
The interface became the argument for how the operational model itself needed to behave.

Designing Inside a Living Organization

The hardest problems were not visual.

Operational decisions were distributed across research leadership, operations, finance, regional teams, and engineering groups spanning dozens of countries.

Workflows evolved through years of accumulated edge cases, spreadsheet logic, and local optimizations.

The work required balancing:

  • Local flexibility
  • Enterprise consistency
  • Adoption realities
  • Evolving scope
  • Organizational restructuring

Midway through the program, the engineering organization reorganized into five parallel pods while platform development accelerated.

Maintaining coherence across workflows, systems, and interaction patterns became part of the design responsibility itself.

We were not designing in ideal conditions.
We were designing in the conditions large organizations actually operate within.

A four-column diagram tracing the evolution of Ipsos Flow's data model across time. Late 2023 shows a flat, unstructured list: Program, Project, Job, Quote, Execution, Delivery — labeled "Entities exist, no shared model." Early 2024 introduces hierarchy with Project/Job merged and Quote highlighted, noted as "Hierarchy emerging, boundaries contested." Late 2024 shows Job branching into Quote and Wave, with Quote leading to Execution via a dashed (contested) line, noted as "Key split: quote vs. job, wave concept contested." The 2025 MVP resolves this into a settled hierarchy: Quote Job at top, branching into Wave and Job/Execution, under a "Shared object model" label — described as "Settled, inherited, quote + exec unified." A legend distinguishes dashed contested relationships from solid settled ones.
The evolution of Ipsos Flow's data model from Late 2023 to the 2025 MVP — from a flat list of disconnected entities to a settled hierarchy with a shared object model unifying Quote and Execution under a single Job.

The outcomes

A composite screenshot of the Ipsos Flow application in dark mode, showing multiple panels of the platform simultaneously. The left sidebar shows primary navigation: Program, Quote, Setup, Execute, Analyze, Deliver, and Flow Suite. A nested object tree displays a sample project hierarchy — Program → Pitch → Quote job → Quote → Job. The center panels show a Quote detail view for "The General Brand Tracker 2024 W/ Boosts" with tabs for Activities/Specs, Other Costs, Pro Time, and Price, alongside cost and selling price summaries. Below, a Scripting configuration panel displays job specifications including data collection mode, supplier, field markets (US and UK with language tags), and questionnaire template settings. An AI Verification panel shows question-level metadata including type, layout, and answer list settings. A Professional Time table tracks actual, budget, and forecast hours by role level (L2–L6). The bottom section shows Main KPIs with revenue ($238,000), gross margin (52%), and professional time metrics, alongside a Gen Pop completion tracker with incidence rate, conversion rate, internalization rate, and LOI data — each with forecast and budget comparisons. The right side shows a Main Questionnaire editor with a textbox question, answer list configuration, and logic/type settings.
The Ipsos Flow MVP interface — a unified platform where project setup, questionnaire scripting, field execution, and KPI tracking coexist in a single, coherent workspace.
128

Weeks from first meeting to final delivery

7

Active finalization workstreams at peak

12

Disconnected systems replaced

$1M–40M

Scale and complexity of projects supported

Over multiple years, Ipsos evolved toward a more unified operational platform:

One place where projects could move from quote to execution with shared visibility across teams and lifecycle stages.

The work established:

  • Shared workflow foundations
  • Reusable operational patterns
  • Connected lifecycle views
  • Common interaction systems
  • Stronger continuity across operational states

Not a prototype.
Not a concept deck.
A live operational platform evolving inside one of the world’s largest research organizations.

Interested in complex digital healthcare systems and user experience design?

Get in touch

or email us at info@goinvo.com

Authors

Chloe Ma

Chloe Ma, GoInvo

Chloe is a designer and researcher specializing in medical and scientific storytelling. She drives to improve healthcare equity, education, and accessibility through good design. Chloe joined Invo in 2021 with a BS in BioChemistry and Molecular Biology from Dalhousie University and a MSc in Biomedical Communication from University of Toronto.

Craig McGinley

Craig McGinley, GoInvo

Craig is an engineer devoted to full stack design and development. He brings skillful javascripting, front-end development techniques, and application logic design to software projects. Craig joined Invo in 2014 as a Launch Academy graduate, vegan, and a musician.

Juhan Sonin

Juhan Sonin, GoInvo

Juhan Sonin leads GoInvo with expertise in healthcare design and system engineering. He’s spent time at Apple, the National Center for Supercomputing Applications (NCSA), and MITRE. His work has been recognized by the New York Times, BBC, and National Public Radio (NPR) and published in The Journal of Participatory Medicine and The Lancet. He currently lectures on design and engineering at MIT.