How do you scale CRO within a large organization like NS?
NS' internal organization; such as product owners, cluster leads, teams and clusters, among others, saw a lot of growth potential in Conversion Rate Optimization (CRO), but struggled with some challenges to build a successful CRO strategy:
- Lack of knowledge and capacity: both Product Owners (POs) and cluster leads lacked the time and expertise to successfully execute CRO.
- Support within the organization: convincing teams to deploy CRO on a large scale was a challenge, despite the positive results of an earlier pilot.
- Insufficient experiments: the number of experiments conducted was therefore limited.
The challenge was also in the political dynamics within clusters: teams often worked output-driven (focus on delivering features) rather than outcome-driven (focus on measurable results), which hindered a larger rollout of CRO. There were also challenges in creating support among product owners and cluster leads, who raised the alarm that time and knowledge were lacking for CRO initiatives.
The approach: collaboration with Online Dialogue
After a successful pilot, NS decided to scale up CRO further. Hiring additional full-time employees was not an option, so the desire arose for a training program for NS employees in each of the various clusters. Online Dialogue was selected as a partner because of its expertise in data analysis and psychology and accessible method of operation. "I chose mainly on person; I had a good click. Online Dialogue came across as flexible and looser, a culture that suits NS well. That personal click was ultimately the deciding factor." explains Jeroen Oosting.
For 14 months, Online Dialogue trained and coached 13 NS employees, allowing them to devote 25% of their time to CRO. The approach included:
- Kickstart the CRO program: specialists within NS, often new to the field, were trained to incorporate experimentation and validation into their work.
- Hands-on training and coaching: specialists learned how to set up experiments from A to Z, from formulating test ideas to presenting learnings. Extra attention was paid to skills such as data analysis, psychology, programming and presenting results.
- Safe learning environment: in bi-weekly multidisciplinary meetups, the teams were able to learn from each other, share successes and discuss insights in a safe and stimulating setting.
- Technical Support: team got help setting up the experiments, measurements, and automating analysis and reporting.
"The consulting role that Online Dialogue performed in addition to the trainings really confirmed their added value as a sparring partner," said Jeroen. This collaboration laid a solid foundation for a data-driven way of working within NS.