Research platform

Customer Expreince Lifecycle Management


OpenIdeaL enables CX & Innovation (CX&I) professionals to successfully initiate and manage CX&I projects throughout their entire lifecycle. By incorporating  Jobs To Be Done (JTBD) and Design thinking methodologies we overcome some of the most common barriers  to successful innovation process:

  • Processes are not formalized
  • Customer unmet needs neglected
  • CX and Innovation projects detached from ROI
  • Organisational Knowledge is not registered
  • Lack of cross-organizational integration and collaboration (e.g. across marketing, sales, service, manufacturing, etc.)
Before CxLM

CX Is the New Battleground:

Today, customers are in control. Customers don’t stay loyal anymore. The expectations are higher than ever. Organizations need to adapt quickly to stay relevant over time. Customer experience is paramount and becomes a key differentiator

Customer Experience Lifecycle Management (CxLM) is a working enviroment for managing the entire lifecycle of CX initiatives from Customer research, through design and implantation. CxLM integrates people, data, processes and business systems and provides an information backbone for enterprises.

CxLM helps you accelerate your CX Research, design and Implementation efforts across all departments and locations by automating workflows, key tasks and delivering timely information.

Numerous studies indicate that organizations which  are  able to skillfully manage the entire experience (e.g. beyond touchpoints) reap enormous rewards: enhanced customer satisfaction, reduced churn, increased revenue, and greater employee satisfaction. In addition, a clear view of entire Cx enables a more-effective way to collaborate across functions and levels, a process that delivers gains throughout the company.

With CxLM

Main Modules

Conduct research for various product lines
Create Experience and Job Maps across consumption chain and moments of truth
Collect quantitative findings; register behavioral values and emotional rates
Verify research data by qualitative surveys.
Proprietary algorithm automatically discovers evidence-based personas with specific unmet needs profile