How do you understand
your customer?
Understanding customer needs takes more than just luck and intuition

Our data platforms combine different sources
of customer data for a wholistic picture

Voice of
Consumer Data

Social
Listening Data

Behavioral Data

Purchasing Data

Big Data

Voice of
Consumer Data

Social
Listening Data

Behavioral Data

Purchasing Data

Big Data

Understanding Hidden Customer Challenges

Our VOC platforms are developed using Design Thinking—a methodology that brings our engineers, clients, and their customers together during the creation process.

We Have Interviewed over 100 Clients to Discover Their Needs and Challenges

In truth, by looking only at soon-to-disappear cookie or behavioral data, it is difficult to understand the real picture. The simple act of listening is best, but it is hard to collect voices, and the results are often scattered all over the place.

DMO / Digital Marketing Division
I operate multiple EC sites, both for my company and as an agency, and the data we collect is scattered all over the place. In the end, will a new tool help me or is a simple spreadsheet the best?

EC Company / New Business Division
Even though we hire data scientists and employ AI to analyze vast amounts of data, the truth is, we actually use very little of it.

Hotel Group / Customer Experience VP

Koeeru utilizes Design Thinking Methodology to work with clients to build user-centric Voice of Consumer platforms

How Do We Create Customer Data Platforms Using Design Thinking?

Empathize

The first step in building a successful data platform is to understand and empathize the current situation. To achieve this, Koeeru’s design, development, and business teams work together with clients to identify lead users that can be observed and interviewed--giving us insights into the current situation, from data collection to utilization.
Define

Based on what we discover during the Empathize phase, we define the motivational issues that prevent the effective collection, processing, and use of voice of consumer data. These blockages vary based on client, but can include data silos, inefficiencies, and motivational asymmetries.
Ideate

After defining the problem, we ideate (brainstorm) ideal voice of consumer data solutions with our clients—designing platforms that really matter. At this stage we work on creating ideal data flows that solve the problems that each user encounters, and share the differences between the end goal and the current situation.
Prototype

Rather than creating a finished product in the first go, we build out prototypes of what we brainstormed during the Ideate phase. These prototypes have a minimum level of necessary functions, and they allow us to understand potential future issues that might arise—from the data collection stage all the way to the use stage. If a function is necessary that we don’t have in our existing products, we’ll develop it from scratch for our clients.
Test

After completing our prototype, we test the results. The entire design thinking process is repeated again and again, gradually improving existing functions, adding new ones, and expanding the client’s overall data infrastructure. By repeating this cycle of Ideate-Prototype-Test, we can build a more sustaintable and suitable product than one developed through traditional means.

Co-Creating Voice of Consumer Data
Platforms through Design Thinking

From creating platforms that continuously and sustainably collect voice of consumer data from our client’s customers, to data integration and analysis for better use, Koeeru co-creates platforms that make a difference in our client’s and their customer’s lives.