Stan is a seasoned product manager and digital strategist professional with broad Fortune 1000 and financial services sector experience. His specializations include accessibility, digital strategy and product roadmaps, large-scale digital projects, complex web redesigns, and enterprise website governance. Stan is also a published author and active innovator.
There are several popular marketing frameworks that can be very useful for non-profits to create compelling content. Let's take a look at the SCR framework.
The SCR Framework
The Situation-Complication-Resolution (SCR) framework is a storytelling and problem-solving structure that can be invaluable for non-profits in creating compelling marketing ad copy.
So what exactly is SCR? Let's break down an example of how a homeless shelter non-profit can use each component of the SCR framework for fundraising.
Many people tout the productivity benefits of AI, but there hasn't been much data to back that up.
This article from One Useful Thing provides some study data to show the benefit of AI, in this case for a consulting company.
Looking at 18 different representative tasks, the consultants using ChatGPT-4 considerably outperformed those who didn't use the tool. Specifically:
"Consultants using AI finished12.2% more tasks on average, completed tasks 25.1% more quickly, and produced 40% higher quality results than those without." (Source)
The article goes on to show how productivity boosts with AI is somewhat dependent on how you choose to use it. AI is great for tasks like idea generation (see this related article), while other tasks that would seem to be easy for machines to do (like basic math) are challenges for LLMs.
I've seen several 'How Do Chatbots and LLMs Work?' videos, but I think this one is a perfect introduction video that you could share regardless of a person's technical knowledge. I like simple videos like this to help people understand that AIs like ChatGPT, which use Large Language Models, aren't some magical, sentient computer creatures.
When you get down to its basics, the AI is just guessing the next letter in a sentence using an amazingly large database. If you play around with chatbots for a bit, you'll soon see that the 'guess the next letter' technique works really well for some tasks (rewriting your messy notes from a meeting) but not others (doing complex math). Chatbots are also still apt to 'hallucinate' where they flat-out make things up.
Despite the fact that a chatbot is just 'really good at guessing', we still want to find guardrails to make sure chatbots and AI are used ethically and safely. Open AI (the ChatGPT folks) recently announced they were carving out 20% of their annual budget to find ways to put safeguards on their AI. I personally would like to see all knowledge workers get at least a basic understanding of AI so that we can use it responsibly.
Seeing all the new developments in AI takes me back to the glorious '80s – a time when big, frizzy hair-doos and mullets were in vogue, and when The Hoff (David Hasselhoff) graced our television screens in the iconic series, "Knight Rider."
I remember being glued to my TV watching Michael Knight and his trusty AI-powered car KITT embark on high-octane adventures. Each episode KITT (Knight Industries Three Thousand model AI) showcased its futuristic features: KITT's self-driving prowess, voice recognition that always understood Michael's requests (even in the middle of an '80s power ballad), or its ability to make decisions to save the day. It was almost as if Siri and Alexa had taken vehicular form, decades before the first smartphone.
