Welcome to From A to B! What the hell are we?

I’m still kind of figuring that out. Logically - I want to help as many people getting literally from Version A of whatever you’re working on in digital marketing…. to version B. With B being better than A.

If we put ourselves in that Molecular Analyzer from Spongebob:

• 30% memes

• 30% videos

• 19.8% skits

• 150% unhinged

• 25% valuable content for you to learn something

Really, my hope is to communicate the latest tips, tricks, and advice in experimentation and product through actually entertaining and engaging content.

No boring-ass zoom podcasts where one dude keeps talking over the other dude because their internet sucks. No lectures where you paid 200$ to take a class and it does a better job of putting you to sleep faster than the latest story drop in your Calm app.

Latest Skit

A/B test results always be catcalling on me to peek at them....

Latest Podcast Episode

Pretty simple to make a hypothesis, right? If/Then statement, and boom, done. I already did most of the hard work in just having the framework.

Not quite.

A lot of work (and pre-work) SHOULD go into making a hypothesis, so that it can go from a "meh" but functional hypothesis, to a hypothesis that not only drives results, but trust in your experimentation program too! And bonus: Juliana "Run the Jewels" Jackson offers 2 columns / buckets of info you probably never considered which should be available for stakeholders to improve on the presentation of the hypothesis and test doc as a whole.

This features the AMAZING Juliana Jackson btw.

Latest Meme

Thing on my mind

AI, AI, AI, AI….. we are still firmly in the hype cycle. There are amazing use cases for AI, especially in experimentation / product. I am still learning more about what else it can do.

But consider this: It’s not foolproof. It makes mistakes. A LOT of them. Do you hold the AI to the same repercussions as if someone else did the job?

Let’s say you ask AI to analyze a data set. And it only analyzes 50% of the data set, and the actual job it does is mediocre. Do you then just say “meh whatever”? But what if that was your employee who decided to only analyze 50% of the data set? You’d probably have a conversation with them. Right?

A little while ago I tried Googling if Avocados are safe for consumption for dogs. Look at what it highlighted.

It DIDN’T highlight the “doesn’t mean” part of the quote. The literal most important part of this. How many dogs have suffered health consequences from this? It’s not 0. Yet many of us shrug saying “meh it’s learning.”

I’m bullish on the potential for AI. It will get better. But to blindly trust it, without holding it to any accountability to deliver on what you ask it to do, is where you’ll run into issues. For some things, it’s worth it to trust it like an intern doing work, with some guardrails. But do you trust an intern to drive strategic change? Or do EXTENSIVE creative work?

Hopefully not.

Things to go subscribe to:

• Podcast:

  • https://creators.spotify.com/pod/show/from-a-to-b

• YouTube:

  • https://www.youtube.com/channel/UCTYa5tWmFA9cvr_BSMSYyJw

• LinkedIn(s):

  • https://www.linkedin.com/in/shiva-manjunath/

  • https://www.linkedin.com/company/from-a-to-b-podcast/

• This newsletter, yo!