01/06/2022
Once your experimentation process becomes more complex, a management tool should be considered 👨💻
Here are 4 reasons to do so:
1️⃣ Bringing People, Tests, and Results Together
When experimentation evolves to a higher volume of tests and multiple squads and objectives, it’s likely that your spreadsheet control will fall behind and slow down the process 🤯
With an experimentation management tool, there will be one single place where employees can add ideas, prioritize them, integrate with other tools, communicate and populate learnings and results automatically.
2️⃣ Prioritizing Your Experiments
In a management tool, all ideas are linked to a goal, and all objectives are aligned with a North Star Metric, a key indicator chosen to represent business growth 📈
🎯That ensures teams are focusing on finding solutions for the right problems, and responsibilities and metrics are clear.
3️⃣ Process Standardization
A management tool will get everyone following the same template when creating a new idea, prioritizing it, and setting up the experiment.
That will allow your team to evaluate ideas much more effectively, and makes scaling the number of tests you run and your team size much more manageable ✅
4️⃣Making the Most of Your Learnings
Instead of being forgotten, past experiments will be available for your team to get new insights and avoid making the same mistakes over and over again 📂
Keeping a centralized and updated learning base will tell the evolution of experimentation in the company. You will be able to see how many ideas were suggested and tested, what were the objectives being tacked, how many succeeded, and if you are bringing in more learnings over time.
➡️ How does your manage the experimentation process in your company? Do you have an experimentation management tool to make it easier?
Share it in the comments! 💬
