And if you’re like most people, you’ve also probably struggled to fill those boxes in. Everyone struggles with empty text boxes. Populating them can be hard work, especially when the content needs to be just right. This isn’t just our opinion – our startup metrics prove it! Even with the pop-up suggestions, we saw significant drop-off during user onboarding. Drop-off on the first page of an application is bad news. It means wasted advertising spend and lost goodwill.
The point is, empty textboxes aren’t just intimidating, they can significantly impact user engagement and conversion rates. On a different project, we’d just used a Large Language Model (LLM) – in this case OpenAI’s GPT – to provide users with pre-filled text boxes, with content based on choices they’d previously made. Instead of an empty box, the user gets one filled with content to use as a jumping-off point. If they like the content as-is, they can keep it; if not, they can change it. Either way, it’s a huge improvement over starting from scratch.
Applying that solution to our job matching site made perfect sense. In fact, it makes sense for almost any application that has text boxes! Leveraging LLMs to help users fill in text, whether it’s by providing starter content, samples, or highly personalized tips, makes their lives easier. That’s why we’re planning on building most of our sites this way in the future.
Bottom line: with LLMs, empty text boxes are going away.
Profile Blurbs and Writing Prompts
Let’s look at our job matching site in more detail. During signup, the professional is prompted to enter their profile into a form, with an upload box for a resume, fields for awards, skills and certifications, and then a textbox – 500 characters max – for their professional summary.
An empty textbox, demanding to be filled with a concise, compelling summary to impress potential employers is daunting. Fill it with the right words, and your dream job could be right around the corner. Get it wrong, and you’re just wasting fifty bucks a month.
For example, let’s consider Mark. He lives in Houston, he’s a dedicated math teacher, and a proud recipient of the Teach for America excellence award. He’s a right-brain guy, and not much of a writer, which makes an empty textbox a potential stumbling block. So instead, we fill it with a completely custom blurb, written just for him:
That blurb, and the following examples, were all generated from GPT in only a few seconds, at a cost of less than one penny. The information provided was all pulled from data he’s already entered – just Mark, Houston, Math Teacher, Teach for America.
And if this description doesn’t resonate with Mark, he can ask for a new one, while providing feedback. Maybe those references to TFA sound like bragging, or he thinks “passion for numbers” sounds silly. We could prompt Mark to enter descriptive keywords like “dedicated” and “engaging.” This gives Mark more control over the process, without requiring him to write much, and gives the LLM more to work with. Giving this feedback to GPT gives us a revised prompt – once again, in just a few seconds:
Thanks to his custom blurb, instead of closing his browser and feeling inadequate for the rest of the day, Mark completes his bio and becomes a happy customer. He’s happy because the hardest thing he had to do all day was done for him – in a way that allowed him to maintain control of the output. The LLM didn’t just write a blurb for Mark, it wrote the blurb that Mark would have written, if only he’d had the words. Note how this version incorporates Mark’s feedback and descriptive keywords. It’s this collaboration between the user and the LLM that drives good results.
In the pre-LLM era, an empty textbox was a tough challenge. Now that AI is here to help, every textbox is an opportunity to help a customer through the challenge. Which means better conversions and happier customers. Happy customers mean happy CEOs and founders – and that’s what makes us happy.
One of the main powers of LLMs lies in their ability to generate text that not only makes sense but is also engaging and personalized. They learn from millions of pages of text, understanding patterns, context, and even nuances that make the generated blurbs feel almost human.
If having an LLM write the whole blurb seems like too much, we could also fill our empty textbox with a writing prompt:
Along with personalized tips that inspire creativity:
- Inject Professionalism with a Touch of Fun: Mark, as a dedicated math teacher, you likely have engaging stories from the classroom. Share an anecdote that showcases your innovative teaching methods. This adds a touch of personality and makes your bio more memorable.
- Be Genuine: Emphasize your genuine passion for teaching and your commitment to education. As a proud Houstonian and a teacher, highlight your connection to your community and your ongoing efforts to improve the world around you.
- State Your Career Goals: You’re passionate about guiding young minds in mathematics. Clearly mention that you’re seeking a role where you can continue influencing students’ lives and making a difference.
- Skills and Interests: Consider adding personal skills and interests. Do you participate in professional development workshops, or perhaps enjoy problem-solving puzzles in your downtime? Including these details can provide a more holistic view of your professional persona.
Since LLMs can understand text as well as generate it, the tips could be interactive as well as personalized. As Mark types, the text could be sent to GPT; if it determines that he’s added a teaching anecdote, a check mark would appear next to that tip.
Fill Every Textbox
Bio blurbs are a difficult sort of textbox to fill in. But there are others almost as hard. Think about text boxes that have stymied you in the past. Look around your home or your office. (If you’re remote, use your imagination.) Do you see anyone frustrated by these empty textboxes? Off the top of my head, here are some examples, but the list is huge:
- E-commerce product descriptions and FAQs
- Real estate listings
- Social media posts
- Marketing emails
- Job postings
- Job application cover letters
- Personal statements for college applications
- Business proposals
- Customer support emails
- Press releases
- Dating profiles
All of these text boxes are difficult to fill in, though not necessarily for the same reason. Product descriptions and listings require tedious editing to make them engaging – especially after the fortieth one. Customer support emails require both accurate information and a professional, helpful tone. An LLM can help fill in all these boxes, either directly, or by providing prompts, tips, and editing help.
Are you a founder or CEO or head of product? Go through your product right now and look for empty text boxes. You might be surprised how many there are. Each one represents a great opportunity to make your users more productive and happier. A solid LLM integration can transform the way they interact with your platform. It can empower them to express their ideas more effectively and confidently, no matter what they’re writing.
TechEmpower can help
In the era of LLMs and Generative AI, empty textboxes are a product mistake. Instead, you can enhance the user experience and produce a better result by enabling the user with a combination of the right questions and a starting point. The result is less drop off, i.e., better conversion rates.
But there’s a big difference between an LLM implementation and the right implementation for you. To get to what’s right for you, you need a tech partner with a deep understanding of your business needs, software development experience, data engineering skills and AI expertise. With over 25 years of experience in the software industry – and many successful AI integrations under our belt – TechEmpower can help you replace those empty textboxes with happy customers.