Outcomes
- Learn about the role and importance of Customer Science in a customer-centric business
- Learn to analyse a business problem and define a problem hypothesis
- Learn to conduct stakeholder interviews to gain insights on atopic
- Learn to find and select the right data sources to analyse a problem
- Learn basic cleaning, transforming, analysing and interpreting of data sets
- Learn to analyse and define behaviour-based customer segments
- Learn to generate and prioritise solutions by combining evidence, intuition, and business expertise
- Learn to create descriptive and predictive models to test potential solutions
- Learn to visualise and highlight key insights from data
- Learn to apply storytelling to your work and recommendations to spark action
Summary and process
On average organisations only use up to 10% of the data they are collecting, which presents a great opportunity for organisations to use more of their data to drive business performance.
If taken advantage of, the data has the capability to respond much more accurately to your customer needs and expectations, which helps to gain a competitive advantage and optimise the organisation.
32 hour live session bootcamp delivered in 8 x 4h sessions, with one session held per week. For this bootcamp, a learner should estimate 1-3 hours of extra engagement in an e-learning environment.
Problem definition
Onboarding onto PriceCo case, Customer Science fundamentals, Problem briefing, & Defining problem hypothesis. Clear role in PriceCo case, Basic understanding of the problem, Problem hypothesis
Research
Customer Segmentation, Stakeholder interviewing 101, Conducting stakeholder interviews, User Story creation, Customer segments, Insights from stakeholders, Deeper understanding of the problem
Data Collection
Introduction to working with data, Collecting, wrangling, and transforming data. Clean and define useful datasets for further analysing the problem
Data Analysis
Introduction to analysis methods, Analyse data to validate problem hypothesis, Tested problem hypothesis
Data Modelling
Introduction to data modeling, Creating a descriptive model to describe the problem, Deeper insight into variables influencing the problem
Evaluation and Visualisation
Formulate recommendations based on findings from analysis and model, Introduction to data visualisation, Recommendations for problem owner, Visuals of key findings
Data Products
Introduction to Data Products, Defining potential data product, Outline of a data product utilising the findings for future work
Reporting & Engagement
Introduction to storytelling, Building an effective presentation as a team, Findings and recommendations presented back to key stakeholders
Your coach
Kwan Suppaiboonsuk
The Perfect Participant
If you want to understand how to work with data to inform your customer experience improvement strategy, or launch your career as a customer data scientist, this bootcamp is for you. You might also have a professional background in engineering or have recently graduated in STEM, or have experience in marketing, finance or business strategy. Either way, this is a critical skill set for any well-rounded Customer Experience professional.
Preparation
All classes are held in English, so you need a professional working proficiency level of English to attend this bootcamp. As classes are held online, you need to be able to connect to the classes, and use your camera and microphone. Please note, there might be some software that you need to enable on your device.
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FAQ
Why is learning about Customer Science relevant today?
To make data-driven decisions around all your customer activities, Customer Science is crucial to standardise the ongoing measurement of how customers interact with your organisation. Growing a customer science capability enables you and your business to drive insights and solutions based on an end-to-end understanding of your customer’s behaviour and the problems that may occur in their journey.
Who will be my fellow bootcampers?
Among your fellow bootcampers you will meet business- and data analysts, engineers and developers, who want to upgrade their skills and become more strategic in their work, as well as professionals from connected Customer Experience disciplines who want to broaden their skills and accelerate their performance.
Can I follow the Customer Science bootcamp besides my full-time job?
Yes, you can. We ask an average investment of 5-7 hours of learning per week. 4 hours of that investment will be during our weekly 4-hour live session. These sessions will be during the morning or afternoon, depending on your bootcamp schedule. The additional hours of learning will be homework, preparation or the completion of online learning kits.
Are there any prerequisites to do this bootcamp?
Since this bootcamp is designed for entry-level knowledge of Customer Science, there is no prior experience or knowledge necessary to follow along in the bootcamp. However, since all of our live sessions, learning kits and homework will be in English, you need a professional working proficiency level of English to make sure you achieve the best outcomes.
What kind of job can I get after this bootcamp?
Depending on your existing skillset and personal learning objectives, you will be able to pursue not only the roles as Junior Data Analyst or Junior Data Scientist, but also substantially increase your skills set in any Customer Experience field role.
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