Reda Mujahid

We used to send a generic welcome email after sign-up and nearly seventy percent of new users did not return to finish their onboarding. We replaced that blast with a three-part behavioral sequence that started when users clicked inside the web app during their first hour. The first message went out immediately. Included a quick setup guide. The second message arrived twenty-four hours later. Included a case study. The third message offered a live support chat. I found that user retention, on day seven increased by eighteen percent because the welcome emails matched the stage of the onboarding journey. I recommend mapping your emails directly to user actions instead of sending rigid time based blasts. What metrics do you track closely for your onboarding email flows?

I flip-flop on this every week. Some AI drafts are honestly better than what I'd write at 6pm on a Friday. Others sound fine but are subtly wrong, and those are the scary ones.

Stack Overflow's 2025 survey found more devs distrust AI output accuracy (46%) than trust it (33%). Feels about right for customer emails too.

Today, I came across a LinkedIn post that reported rough data on how many people were laid off across the biggest tech companies due to AI:

- canva: 1,271
- microsoft: 5,300
- meta: 10,400
- uber: 3,300
- atlassian: 1,380
- ebay: 1,100
- netflix: 1000
- hubspot: 600
- squarespace: 300
- dropbox: 200
total humans affected: 24,851

I understand the need for the founders to make the processes as effective (AKA layoffs), but it somehow reduces the economic power and ability to buy products (in the long term)