Building Research-Backed CX Frameworks Across Industries

Our Research Partnership Model aims to bring together industry expertise, academic research, and practical insights to build validated CX frameworks and processes.

Research Partnership Model Scope

Building Frameworks and Processes through Strategic Partnerships

We partner with companies, public institutions and academia to study CX challenges across industries, develop frameworks, and create practical solutions.

scope for research partnership model

The Problem

Existing CX challenges fall into either industrial ecosystem issues or organizational issues.

Industrial Challenge: Sometimes the grassroots issue isn't organizational at all, it could be a broader industry-wide pattern. eg:-Team friction in adopting collaborative SaaS.

Organizational Challenge: Most CX frameworks are internal guesswork dressed up as strategy, built once, never validated, and never tested outside the company that made them.

our-approach

Our Approach

Radz Designs addresses both levels through two research tracks.

Academic Partnership Track:(Addresses Industrial Challenges) We partner with academic institutions to study industry-wide patterns, using real data instead of isolated company experience, to build frameworks that hold across an entire vertical, not just one company.

Research Partnership Track:(Addresses Organizational Challenges)We embed directly with a company as their research partner, studying their specific operations to build and validate frameworks against real internal outcomes, not internal guesswork.

outcomes

Outcomes

What each track produces.

Academic Partnership Track:

  • A validated, industry-wide framework, tested beyond one company's walls
  • A published paper or case study co-authored with an academic institution
  • Recognition as the origin point of a new industry standard

Corporate Research Partnership Track:

  • A proprietary framework built specifically for that company's vertical
  • Validated process redesign, tested against real operational outcomes
  • A published case study proving the framework in a live environment

The Need

Why is a Research Partnership Model Needed?

Here's the three main reasons for needing a research partnership model:

  • Inherited frameworks are rarely stress-tested against real data
  • Academic research studies from the outside without embedded access
  • Consultancies mostly solve micro issues rather than working from a macro perspective
Nobody is building frameworks from the inside, validating them, and making that validation visible.
why-do-you-need-research-partnership

Our Methodology

How does the Research Partnership Model work?

Two research tracks, each designed for a distinct outcome.

academic partnership model

Academic Partnership Research

  • We identify a specific issue within an industry ecosystem, drawn from the use cases we study
  • The issue can also be raised directly by our partner academic organization
  • We study it against real data in collaboration with the academic partner
  • We develop the findings into a structured framework
  • We validate the framework through academic rigor

Built for institutions and researchers looking to produce credible, peer-adjacent work grounded in industry reality rather than theory alone.

Corporate Research Partnership

  • We embed directly within the partner company's vertical as their research partner
  • We study live operational data specific to that business, not generic industry patterns
  • We develop a proprietary framework built for that company's exact problem
  • We validate the framework against real internal outcomes
  • We publish the findings as a case study, credited jointly with the partner

Built for companies looking to solve a live operational problem with a validated, proprietary asset rather than a generic playbook.

corporate partnership model

The Outcome

CX Predictive Frameworks

Data-driven predictive CX frameworks strengthen scalability, operational efficiency and consistent growth

Academic Partnership Research

  • Helps academia and us to present papers in international conferences for helping industry verticals
  • Helps institutions and researchers to publish industry-grounded case studies, and frameworks
  • A repeatable structure for industry verticals for future decisions

Corporate Research Partnership

Gives Companies:

  • A validated internal framework built around their own processes
  • A documented case study of the transformation
  • A repeatable structure for future decisions

Our Expertise

Our Capability Stack

The research, analytical, and academic capabilities behind every framework we build.

Research & Data

Operational Data Analysis Statistical Validation SPSS Use-Case Studies AI-Assisted Research

Behavioral Design

Behavioral Pattern Mapping Journey Friction Analysis Experiential Intelligence Decision Flow Modeling

Framework Design

Proprietary Framework Development Process Redesign Cross-Industry Modeling Embedded Research

Academic & Publishing

Academic Collaboration Peer-Adjacent Rigor Case Study Publishing Conference Papers

Starting Niche

Where We're Starting, and Why

Deliberate focus now, built to expand as the track record grows.

Initial Target

Early to mid-stage FinTech & SaaS companies

Reason:

Operational flaws are still fixable at the root, rather than buried under years of legacy process.

Mode of Selection

Direct client work, not assumption

Reason:

The specific industry vertical is determined through real engagement, not decided in advance.

Constraint

Academic validation begins after the founding client cohort

Reason:

Corporate work builds the initial track record and revenue, creating the capacity to dedicate real time to academic research.

Who This Is For

Built for Builders, Backed by Research

Founders, CEOs, boards, VCs, and academicians looking to build proprietary frameworks from real-world data, validate or redesign existing company processes, and develop case studies with academic institutions.