RFPs Without Tears: Writing Inclusive RFPS that Don’t Scare Away Talent

Agencies and organizations spend an enormous amount of time putting together RFP documents that can scare away agencies, especially small ones. If we want to increase talent for civic projects, we need to commit to crafting more inclusive and effective RFPs and procurement processes.

Bellweather Chief Strategy Officer Emily Lessard will share lessons learned from working both within and outside government agencies. Her knowledge spans responding to 143 RFPs and reading countless others. She will share ten lessons for writing more engaging and equitable RFPs, along with a link to download a sample file to get you started.

Designing with Outcomes in Mind: Transformation in the Enterprise with Lada Gorlenko

Lada Gorlenko, Director of UX Research at Smartsheet in Seattle, is the lead curator of this year’s Enterprise Experience conference.

Lada began her career in prison, spending lots of time with murderers and drug dealers! Not what you think, though: she was a psychologist researching the personality changes caused by long-term imprisonment. The experience led her to a better understanding of how universally transferable the principles of research and design are, whether in a prison or at an enterprise. In this episode of the Rosenfeld Review, Lada shares her career path and the story of how she ended up in UX, and the themes she’s developed for the upcoming Enterprise Experience conference.

Dave Gray and Lou Rosenfeld discuss the power of liminal thinking

When you sit in the middle of an organization, it’s easy to believe you can’t change things. Dave and Lou talk about how we can tap our powers of liminal thinking to shed light on why people act the way they do and create safe spaces that foster better collaboration.

Making the Most of Meetings: A Chat with Kevin M. Hoffman

Lou sat down with author Kevin M. Hoffman to talk about his book, “Meeting Design: For Managers, Makers, and Everyone”. Kevin explains how and why design thinking can be applied to meetings. Listen for tips you can use right away to set your meetings up for success.

The Blind Spot of Innovation: a Chat with Nathan Shedroff and Steve Diller

Most companies innovate backwards–focusing first on what features or products they can build. In reality, you’re in the relationship business. Authors Nathan Shedroff and Steve Diller talk about new tools they’ve developed to help businesses innovate with customer relationships in mind.

Animation for Better UX: a Chat with Val Head

As a designer since the early days of Flash, Val Head knows first hand how animation design has evolved to become a powerful tool for creating better user experiences. Hear Val’s insights from her book Designing Interface Animation––for how using motion to enhance your brand, and mobile UX.

State of DesignOps 2021: Where Careers in Design Lead Today

Angelos Arnis is a strategic designer focusing on delivering experiences with humane principles. For the past 10 years, he has been working with product/service companies and startups, both in early and high growth stages.

Angelos is currently changing the ways of working at Posti Group, Finland’s postal service. He is a co-founder at Joint Frontiers, and a co-host of ‘Human, the designer’. Additionally, he is a community organizer at IxDA Helsinki, as well as an alumnus organizer of Joint Futures, DSCONF, & Junction Hackathon. In his free time, he enjoys making music, and playing computer games.

In this talk, Angelos discusses the State of DesignOps 2021 Global Report, and will be sharing this information during this year’s DesignOps Summit 2021 on September 29 – October 1. Angleos began his journey to better understand how one can position their career in design, which then led to exploring more questions that can present a wider range of answers on the subject.

The quantitative data collected for the report was done in the form of surveys, and Angelos has provided us with valuable insights around the state of design operations. Additionally, he will present relevant qualitative research during this year’s summit program. Some highly-anticipated questions Angelos answers in this podcast include:

1) What DesignOps career opportunities are available to professionals in the field?
2) What ladder-climbing opportunities currently exist in design?
3) How would you describe the positioning of typical design practices?
4) What surprises you most about the commonalities you’ve identified?

Prayag Narula on AI’s Role in Qualitative Research

Prayag Narula is the founder and CEO of Marvin, a tool for qualitative researchers. Prayag will also be a speaker at the Advancing Research Conference where he’ll share the stage with Rida Qadri, a research scientist at Google.

Humans have been doing quantitative research for thousands of years – well, for as long as math has been around. Qualitative research, on the other hand, is fairly new to human history, emerging only in the 20th Century. And qualitative research has taken a backseat to what Prayag calls “the tyranny of math,” the prevailing attitude that if research is not math-based, it’s not valid. But that doesn’t diminish the importance of qualitative data. Decisions at all levels are made based on qualitative data every day.

Here are some characteristics of qualitative research:
• Qualitative research is scientific and has been used in the social sciences for scientific discovery for six decades.
• Qualitative data is highly variable and semi-structured, so creating software for it has enormous challenges.
• Taking notes and asking questions are inherent parts of qualitative research, and tools that can search and synthesize such data can dramatically enhance productivity and outcomes.

It’s time for qualitative research to be given its due. Enter Marvin.

Software not only gives validity and legitimacy to qualitative research, it makes it more useful. Marvin uses AI to add context to the conversation and to help with analysis. The tool is free for individuals and teams of two researchers.

Prayag is excited about the use of open AI and ChatGBT. He’s not worried about these tools replacing researchers, but they do give researchers another data point, that is, what AI can glean from the data. AI can help us find patterns that we didn’t see before or might give an interpretation of the data or ask a question that hadn’t been previously considered. With tools like Marvin, it’s an exciting time to be in research.

What you’ll learn from this episode
• How software brings legitimacy to processes and data
• About Marvin, a tool that “automates the tedious parts of qualitative research”
• How AI can augment research
• What to expect from Prayag’s upcoming talk with Rida Qadri at Advancing Research – “HCI 2.0: Humanity Deserves the Attention that UX Research has to Offer” – which will include implementing technologies in a socially responsible way

Quick Reference Guide
[00:00] Introduction of Prayag
[01:07] Upcoming talk at Advancing Research March 27-29, 2023
[01:29] Prayag gives a history of his entrepreneurial experience
[05:15] Prayag explains why he felt driven to provide a centralized place for data
[08:53] Does having software to support qualitative research contribute to its perceived legitimacy?
[11:00] On the nature of qualitative research being highly variable and semi-structured and what that means when it comes to writing software
[16:12] Break: Rosenfeld Media Communities
[18:16] Prayag describes the Marvin tool, available for free for individual researchers and teams of two
[0:19:52] The role of AI in research software
[0:25:04] On AI’s ability to synthesize data across various sectors of an organization
[0:29:08] More details Prayag’s upcoming talk with Rida Qadri at Advancing Research in March
[0:32:33] Prayag’s gift to the audience

[Demo] Complexity in disguise: Crafting experiences for generative AI features

AI tools like ChatGPT have exploded in popularity with good reason: they allow users to draft, summarize, and edit content with unprecedented speed. While these generic tools can generate any type of content or perform any type of content task, the user needs to craft an effective prompt to get high-quality output, and often needs to exchange multiple messages with additional guidance and requirements in order to improve results.

When you’re building an AI-powered text generation feature, such as a product description or email writer, you typically can’t expect users to craft their own prompts. And unless you’re building a chat interface, you’re unlikely to offer the ability to iteratively improve the output. Instead, your feature needs a robust prompt skeleton that combines with user input to produce high-quality output in a single response.

For the designer, this means building an interface that helps users provide the exact information that creates a successful prompt. This process is more complex than simple form design or a mad-lib prompt completion tool. The user input, often including free form text fields, might be required to fill in prompt variables, but it also could change the prompt structure itself, or even override base instructions.

The effectiveness of the user input significantly influences the quality of the output, underscoring the need for designers to be deeply familiar with the backend prompt architecture so they can design the frontend.

Drawing on recent text generation projects, I’ll demonstrate how the interface design can respond to and evolve with the prompt architecture. I’ll talk about how to determine which prompt components to make invisible to the user, which to provide as predefined options, and which should be authored by the user in free-form text fields.

Takeaways

1. How prompt structure can impact user interface design and conversely, how design can impact prompt structure
2. Techniques to provide effective user guidance within AI generation contexts to ensure consistently high-quality output
3. Real-world examples and learnings from recent generative AI projects in an e-commerce software product

Coffee with Lou #4: Taking a Peek Under the Rosenbot’s Hood (Videoconference)

What happens when you cross an eager librarian, a happy puppy, and 800 UX experts? You get the Rosenbot—Rosenfeld’s new GPT-4 level chatbot, trained on our books and hundreds of hours of conference and community call recordings. What went into creating the Rosenbot? Lou is joined by SimplyPut’s Peter van Dijck, an old friend from the IA community and the chief architect of the Rosenbot. If you’re beginning your journey into developing generative AI products, you’ll want to join Lou and Peter to learn from their lessons, ask questions, and share your own thoughts on AI’s role in making curated content more useful and impactful.