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AI UX Design Service

Let's break ground in AI together

Opportunities for differentiation through AI are exploding—the time is now to differentiate through novel technology and superior execution

AI UX Design CHallenges

Signs your team needs our help

Users aren't sure what the AI can do for them

The optimal strategy towards integrating AI into your software is unclear

AI features aren't being used to their full potential and impact due to confusion

Siloed AI prototypes aren't feeding into product development like they should

The right data isn't being exposed at the right times

The learning curve feels cumbersome for users

Mini Case Studies

Recent projects with companies doing AI

Voice forms for realtors on the go

Scenario
A real estate company needed their realtors to comply with the required forms the state required, but realtors are constantly on the go. Paperwork like this would pile up, and context switching and remembering what was said was unnecessarily difficult.
Outcome
Streamlined voice forms interaction, resulting in 20% faster and more complete forms.
Natural Language Processing
AI
Real Estate

Green energy data made more accessible through AI filters

Scenario
Data analysts accessed geospatial green energy data through a dashboard interface. Significant time consuming “data micromanagement” needed to be performed just to get to a starting point for data exploration.
Outcome
AI-powered dialog created filtering and a starting point view for analysts
Data dashboard
AI
Green Tech
Filters

Data exploration unlocked with AI

Scenario
Data analysts historically have performed manual effort in unnecessary places, for example chart creation, data cleanup, transformation and many other places. Our mission was to determine where we could create behaviour and defaults to ease this pain through AI technology.
Outcome
Product architecture which reduces painpoints along the user journey.
Data dashboard
AI
Interaction
Analysis
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Our approach to AI UX design

How we craft excellent AI experiences

High impact use cases

We focus design efforts into places where we can have the highest impact, not applying the “we can so why not” lens

Prototypes with SMEs

We work with AI professionals to run spikes, find capabilities and perform user testing

Apply the UX lens

AI features can fall flat due to lack of user context, we apply empathy, evidence and user needs into the behaviour of the software

User Testing

We have specific ways we conduct user testing, so that it’s effective for AI design

“P&P has a deep understanding of data and user empathy in complex experiences. They can walk the fine line between innovation and familiarity that is rare in the industry. Plus, they are equally comfortable diving deep into the weeds and zooming way out in a way that is essential for building high quality software.”
Chris Parmer, VP of Product at Plot.ly
"Collaborating with Pencil & Paper was instrumental as we shifted our product culture towards greater user-centricity. Their expertise in B2B software kickstarted this journey for us, and we can visibly see how their guidance shaped our current UX practices."
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Nakisa product team, (Nakisa HR Suite)
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AI design opportunities

The AI landscape is complex, specific design considerations need to be made

  • Transparency: Being clear about how insights were generated or where they came from is important
  • Futurism lens: We need to hold the future in mind, even when we design for what’s possible now, we’re positioned to pave the way
  • Managing expectations: Users don’t know what to expect from a model they are working with, we need to communicate that consistently and reliably
  • Product Architecture: Determining how AI fits into the overall system behaviour is vital. The way defaults are generated is one example of this systems-thinking that is helpful

How this fits into our mission at P&P

Why we love working in AI UX

We want to propel humans at work, AI has the capacity to reduce a lot of manual effort and brain drain in the knowledge work world. The opportunities to establish new patterns and conventions are deeply motivating to our team. Our mission as enterprise software UXers is to empower people at work through great software UX, and AI is a key tool to amplify that.

Types of AI UX we create

AI experiences in the enterprise software space

We work on a variety of AI-focused experiences across a broad range of verticals, at a highlevel, these are the types of experiences we build with client teams

Generative Functionality

Where the model creates as well as learns and helps users complete their workflow

Predictive Analytics

Where the model predicts elements at various triggers in the user journey

Speech Recognition

Voice to UI interactions built for efficiency use cases

The future is now

AI is breaking barriers left and right

Historically, we’ve seen consumer experiences pave the way for teaching people what AI can do. Medicore chatbots took the place of “an app”, where many organizations clamoured to feel they are maintaining relevance with the new technology, but failing to deliver value. This was not just people or the lack of user-centred development, it was also because the technology just wasn’t there and consumers saw it as a bit of a joke and demanded to speak to a human.

That was then.

Now we’ve crashed head first into a new era of AI, this is the beginning of an acceleration curve. Many constraints in software itself are melting away, creating a context where we can build software that’s more powerful than we thought possible even two years ago. However, on software teams we have no idea how to integrate AI into the build process and we have very few patterns to draw from...🪄

Design has the potential to help us navigate this new world and vastly improve the fundamental way that humans and computers interact. AI can extend a human’s brain and capabilities, now it’s our job to make it happen and to do it beautifully. We can convey system capabilities, mental models and allow users an ergonomic experience which feels natural, though it’s fuelled by an artificial process.

Get our whitepaper

Is your software demo turning heads, or causing headaches?

Applying the right design principles to your demo can create excitement and engage your audiences more effectively. We put together this whitepaper to help you inject some UX love into your product—we cover common mistakes, what a makes a demo successful, and more!

Check it out

FAQ

Rule out risks and reservations

Your AI-oriented product needs to work with the right UX team, we get it. Here’s some FAQ’s we’ve been before.

How do you incorporate AI into the design process?

Incorporating AI into the design process is a mixture of design and technical concept work, collaborative spikes and creating coded prototypes with the key team: product, dev, AI and design.

What’s your experience designing AI functionality?

We've done feature work across many use cases and applications. From users actively interacting with models, to more passively allowing predictions to notify people. Regardless of the usecase, it's clear that we need to create more comprehensive design patterns for AI UX which support trust, utility and efficiency in workflows.

In what capacity does your team work?

We act as a plug and play design team for a range of situations. From teams who have never integrated any kind of UX design resource, to supplementing and collaborating with existing design teams. Depending on your needs, we can take the lead on new ideas, or support the team you have in place. We shine when it comes to collaboration and integrating quickly in teams. See our article about product management and design collaboration for example

Is there anything in the scope of design you don’t do?

We do the full scope of UX/UI design for software in the enterprise arena. This includes “zooming out” and formulating logic around the whole flow, to wireframing (mapping out screens) and producing realistic prototypes. UX/UI design however does not extend to branding or marketing, so we will happily refer you to wonderful teams we know.

When should a UX team be brought into a new project?

Our team gets brought into projects across the spectrum of stages. Sometimes we’ll work with a single visionary to establish direction and then grow with the team. Other times, development will be underway and there’s a more urgent context to the work. Ideally we’re brought in earlier rather than later.

How do I “sell UX” to my superiors?

Your business case and ROI calculation around UX investment may come down to several different factors that relate to the specifics of your business. A very common situation we see is the development team spending a lot of time trying to make design decisions, this cost savings might be a useful initial lens to apply. If you’re in a particularly competitive field, where your enterprise product is starting to lag behind in a scary way, you may want to apply the lens of opportunity cost. Many of our clients have used design concept work to de-risk development efforts and secure interest for large opportunities. Regardless of the approach you have, please leverage our resource “How to calculate the ROI of UX” as a guide and inspiration for you and your team.

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