Foster data-driven growth by scaling your experimentation approach effectively

S.E.E. helps you make better-informed decisions. It enables your organisation to conduct more and more effective experiments in a standardised way and extract maximum value from them.

By using S.E.E., you not only work data-driven but can also scale up to a full-fledged experimentation program more easily.

With handy tools to simplify experiments, you increase both the quantity and quality of your experiments.

While there are multiple ways to tackle a challenge within S.E.E., we focus on three key questions: what is the current situation, where are the areas for improvement, and what is the desired outcome? To gain a clear understanding, we conduct an audit. This allows us to assess the situation more effectively and take informed action.

After the audit, we determine where you fit within our framework, which tool from our toolbox is best suited, and how we can improve your maturity score within a specific timeframe. We define this timeframe together—for example, by remeasuring the score each quarter.

Since every organisation differs in structure, ways of working, and experimentation maturity, S.E.E. offers various approaches. For instance, during a short, intensive session (pressure cooker), we can optimise the experimentation approach for a specific team in a short period of time.

During a longer-term project, we focus not only on optimisation of your experiments, but also on scaling the approach across the entire organisation.

From starting to explore if experimentation is for you, to spreading experimentation culture throughout organisation, S.E.E. can add value.

You don’t already need to be experimenting to get started with S.E.E. If you are already experimenting, we need a good sample to accurately asses your maturity. Exact numbers will be assessed based on the quality of the experiment logs.

We focus on quantitative experiments in which you utilise statistics to analyse the data. With this we refer to A/Bn tests in different variations and success metrics.

The framework can be applied to a broader scale of experiments and research. This way not only studies with quantitative outcome measures are in scope, but qualitative studies as well.

With S.E.E., you can quantify your experimentation maturity. You get insight into where where you stand now and into the steps needed to move forward. You'll receive a maturity score between 1 and 100%, which we'll gradually improve. This way, you can clearly track your progress.

Having guided multiple clients through this process, we can support you every step of the way.

Preferably, everyone in the product team is involved in this process, with support also available outside the team. Each team member plays a crucial role in the proces: understanding problems, designing solutions, and implementing them. Your team members should share insights from past experiments and collaboration processes.

We encourage and motivate your team by celebrating milestones together. We’d be happy to discuss the possibilities with you. One example could be raffling a bottle of champagne upon reaching the first milestone.

We see experimentation not as an add-on, but as a core part of the change process. It’s a team effort, not an individual task.

Experimentation requires little extra time, as the steps are often already part of the regular workflow: gathering insights, defining problems and opportunities, setting a direction, and testing and implementing variations.

What is needed, however, is a clear understanding of the process. In the long run, everyone on the team should be able to run basic experiments.

We have two phases we can assist you in. Phase 1 is a basic setup for your experimentation, while phase 2 offers an improved maturity, higher experiment quality and higher winrate. The final cost may depend on how far along your existing setup is.

You can only run a good experiment when you have good data. With our broad knowledge in the fields of Customer Experience, Data Analytics, Technical Web Analytics, Data Engineering, AI & Data Science, Data Strategy and Product- and Project Management, we can support you with every data challenge.

Is your data quality not sufficient to run high-quality experiments? Don’t worry, we are here to help!