Performance reviews are stressful because they turn months of work into a memory test.
Every quarter, half year, or year, we are asked to write self reflections, set goals, and give peer feedback. All of this depends on recalling details from a fast paced environment where work moves quickly and context is easily lost.
This is a problem I have faced throughout my career. But what if we could automate this process and make it less stressful and more fun?
I built an app that acts like a career mentor, helping you log your work as you go and connect the dots between what you do every day and where you want to grow.
A quick walkthrough of the Logilog workflow.
How it works
- You log quick daily or weekly updates on what you worked on.
- Each update is connected to your goals, projects, and the people you worked with.
- Small details that demonstrate growth and impact are captured instead of forgotten.
- At the end of the cycle, you can generate a complete self reflection without stress.
The AI then analyzes everything you have logged, identifies relationships between your work, goals, and outcomes, and asks clarifying questions to strengthen your narrative. It aligns your feedback with your company’s performance guidelines, your current level, and next level expectations. It also highlights gaps and helps fill them using best practices for effective performance feedback.
I have been testing this workflow for the past six months, and for the first time my performance review felt joyful.
Instead of scrambling to remember everything I had done, I could clearly see my impact, reflect on my growth, and confidently present my work. The experience shifted from stressful and uncertain to intentional and empowering.
This tool does not exaggerate your work.
It makes sure your work is seen, connected, and presented in the strongest way possible.