walkerOSProfessional services
We help you build and maintain a robust, independent tracking infrastructure.
direct support from the creatorsprioritized Github issueshelp maintain and update library under MIT-licence
Measurement plan
We'll work with your team to blend your current tracking setup with our proven best practices for measuring user behavior.
Technical setup
Whether it's implementing walker.js, and/or setting up server-side data collection, we'll tailor our support to your needs.
Ongoing support
Stay connected with us beyond the initial implementation. Through weekly check-ins, we'll help you maintain, and expand your setup.
Consulting Call (2h)
Start strong with a dedicated consulting session. Use this time to review your setup, refine your measurement plan, or get expert answers to your questions.
What's included
- Troubleshooting
- Quick fixes
- Strategy sparring
- Live Q&A
Projects (5+ days)
Partner with us to design and implement a robust pipeline for high-quality, privacy-friendly data. We're creating a solution tailored to your unique needs, ensuring long-term success.
What's included
- Measurement plan
- Implementation guidance
- Client- and server-side setup
- Ongoing training & development
About the team
We're building and maintaining tracking setups since 2018.
Alexander Kirtzel
Co-Founder / Developer
Alexander is the creator and head developer of walkerOS. He specializes in the technical setup of tracking and data collection and will help you get walkerOS running.
Ayla Prinz
Co-Founder / Analyst
Ayla brings her expertise as an analytics consultant to create structured measurement plans and deliver the first insightful reports based on your walkerOS data.
Data collection principles
Seven principles we follow when working on projects.
- Do not build on rented land
- In the ever-evolving world of data, relying solely on external platforms is risky. Prioritize building your own robust data infrastructure to maintain control and adaptability. Sunsets are inevitable — even for features.
- Step-by-step
- While anyone can become an AI expert in no time, it is essential to remember the groundwork required to get there. Data development is a journey that demands effort from the ground up. There are no shortcuts.
- Use tools only for what they are made for
- Utilize each data tool for its intended purpose to maximize efficiency and avoid unnecessary complications. Misusage leads to inefficiencies and potential risks.
- Focus on what you can control
- In data management, focusing on factors within your control, like data quality and security, can lead to more reliable and effective outcomes. It is your responsibility and a huge opportunity to set the rules.
- Internalize data
- Treat data as a fundamental part of your strategy and operations. By fully integrating it into your processes, data becomes intrinsic to decision-making.
- Data is never done
- The data journey is ongoing. Continuous analysis, refinement, and updates are essential to keeping data relevant and actionable. Build. Measure. Learn. Grow.
- Resilience is key
- Data environments are dynamic. Designing resilient systems ensures they can withstand changes and unexpected challenges while maintaining continuous data flow and integrity. And yes, probably more legal requirements are coming.