This is about
Design
5 minutes
18 Jul 2024
This is about
Design
5 minutes
18 Jul 2024
AI Magic - Transforming user experiences with contextual intelligence
According to Bill Gates, “Gen AI is the most revolutionary thing that has happened since the Graphical User Interface was invented in the 80s”.
Now that the technology is available, many companies are looking into integrating AI experiences into their products, services, and experiences.
As designers, we must ensure we don’t just add “AI features” because we can. We need to be more focused than ever and really think about the problems we want to solve and the magic moments we can create.
One thing that’s certainly exciting about AI advancements is that we will be able to create increasingly highly contextual experiences. And that’s a powerful opportunity.
We can use any context to suggest relevant information or questions that people might not even know they want to ask and, therefore, create magical assisted moments.
When we have amazing experiences, our brain releases dopamine and oxytocin. This brain response is connected to memory. We’ll remember that moment and want to repeat it.
Creating memorable experiences gives a competitive edge and can increase customer acquisition and retention.
As in the words of the American author Maya Angelou, “People will forget what you said, people will forget what you did, but people will never forget how you made them feel*.”
In this article, we’ll share examples of those magical and contextual moments we created for a client in the recruitment industry. In the world of talent sourcing: understanding jobs is a real challenge. Most jobs can mean radically different things in different industries. For example, if you ask chat GPT to write a job description for a product manager or a designer, it can write something that’s very convincing but might be inaccurate about what a product manager or designer in your company is. It’s highly contextual to your company’s context.
So we have an opportunity to help recruiters generate contextual JDs because we have the context of the company and the project they are recruiting for.
Recruiters can craft job descriptions faster, but we can also help them in to make it more inclusive. We can show insights about the potential reach of the job description.
And we can propose edits that would reach and include more people.
To create more meaningful ai features like this, we can use an opportunity mapping activity. Starting with the people, in this case Recruiters, Sourcers, Talent Managers, and HR Managers and understanding their goals and task, thinking about what’s their context and how they currently use our product and achieve their tasks. For each of the tasks, we can map the pain points and brainstorm potential opportunities.
For example, we learned that when recruiters and sourcers are working on a project and searching for specific candidates, knowing what to search for is one of the hardest task.
One of the first search modes we wanted to design is one that lets people describe, in natural words, the role they’re looking for.
With the user’s current project context and previous searches, we can show very accurate auto-suggestions to help them write faster.
Showing the search being constructed through animations and how each keywords are being applied as filter can increase understanding of how the system works.
It brings elements to life, guiding users through the search process seamlessly while creating a sense of delight and wonder.
Incorporating motion into the experience not only adds a touch of enchantment but also elevates the overall user experience.
We can also help them refine or expand a search based on the results returned. By suggesting filters they might not even know existed that might help them get better results and even improve diversity, equity, and inclusion by suggesting filters
This makes recruiters feel they can accomplish more, faster, and with higher quality results. And hopefully, recruiters will feel more efficient, even maybe feel a bit better at the jobs.
Another challenge recruiters face is the volume of candidates they need to review. They might have to go through hundreds and thousands of profiles to select the best candidates. AI can help cut through the noise and keep humans focused on what’s most important or relevant in their given context.
AI can help cut through the noise and keep humans focused on what’s most important or relevant in their given context.
With AI, we can extract the most relevant points of specific profiles based on our context and generate a concise summary.
This can help scan much faster, but it’s also important to clearly indicate when content is AI-generated and make the full profile easily accessible.
We want to ensure humans remain in control of their experience and continue critical thinking.
In this case, we designed a toggle so people can turn on or off the AI summary. We also added the functionality to approve or dismiss the AI summary.
We can also create unique and tailored interview questions based on the job requirements, the candidate's background, and previous experience. Doing this manually could take a lot of time when you have many candidates. The magic here is about saving time and helping recruiters make better hiring decisions.
In recap to create magic moments we followed these 3 steps:
Opportunity mapping
This might seem basic but it’s feels like it’s more important than ever: start with the people. What is their context looks like when they use your product? What are their tasks and goals and where are the pain points we can relieve.
Interactions with AI
Think about each interaction users will have with the AI. How the ai can help people in every step of their task?
Bring your AI to life
Lastly, think about what will be the motion principles. How will it connect with the people and create a more organic experience. Think about creating an object or icon that can easily be recognizable, and can take different shape to communicate different state, like waiting for input, thinking, processing, etc. This living object can ensure people understand they are interacting with the ai.
Droplets
Droplets
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