Overcoming Writer's Block and Sharing New Insights: Vision, Strategy, and AI

Written by maxspeicher | Published 2024/08/22
Tech Story Tags: design-strategy | strategy | vision | north-star | machine-learning | nudging | e-commerce | academic-research

TLDRI’ve been suffering from a mild case of writer’s block for the better part of the past year. But I managed to turn things around and could finally finish my five-part article series on how to develop a comprehensive strategy for a design team. In the fifth and final article, I explain how our product design team at BestSecret added the last piece of the puzzle: the team's vision. Plus, friends and I have published a research paper on reducing product returns through smart green nudging in marketing science.via the TL;DR App

Dear readers & friends,

It’s been a while, and I’m sorry for that. I’ve been suffering from a mild case of writer’s block for the better part of the past year. But I’ve managed to turn things around and could finally finish my five-part article series on how to develop a comprehensive strategy for a design team.

ā€œCrafting a vision that inspiresā€ has just been published by The UX Collective. Again, sorry to have kept you waiting for so long.

In this fifth and final article, I explain how our product design team at BestSecret added the last piece of the puzzle to their missionobjectivesvalues, and principles. We did so using a four-step approach in workshops with the entire team: ā‘  Crafting ā€œstories from the futureā€; ā‘” Extracting the essence of those stories; ā‘¢ Formulating individual vision statements; and ā‘£ Crafting a collective vision that brings it all together.

Besides that, another exciting thing happened:

ā€œSmart Green Nudging: Reducing Product Returns Through Digital Footprints and Causal Machine Learningā€ has been published in Marketing Science, one of the premier journals for research in marketing.

Moritz von Zahn, Kevin Bauer, Cristina Mihale-Wilson, Johanna Jagow, Oliver Hinz, and I co-authored this paper. We investigated how e-commerce retailers can leverage a sustainability message on their cart page to reduce returns (-2.6%) while not negatively impacting sales and how machine learning can help to show this message only to the users where it has the greatest impact.

And, as usual, if my own articles are not enough reading material for you, here are my reading and tool recommendations. Today’s topics are writer’s block (fittingly), strategy (also fittingly), and AI (still).

Reading Recommendations

šŸ“– The unsuccessful self-treatment of a case of ā€œwriter’s blockā€ by Dennis Upper was published in the Journal of Applied Behavior Analysis in 1974.

šŸ“– How to be Strategic by Julie Zhuo does a really nice job explaining in understandable terms what ā€œstrategyā€ā€”this elusive, mysterious thing—is and, more importantly, what it isn’t (spoiler: it’s not just setting metrics and goals).

Tool Recommendations

šŸ› ļø Claude is an AI assistant developed by Anthropic and the one I’m using by far the most frequently now. In my subjective perception, their latest model, combined with the possibility to upload documents, is just really good, and I’m barely using Bing Chat (now Copilot) or ChatGPT anymore.

šŸ› ļø HuggingFace is an open-source platform providing a library of pre-trained AI models, a model hub, and tools for natural language processing. It also provides HuggingChat, the conversational AI I now usually turn to when I need a web search feature.


Enjoy reading, and until next time. As always, I welcome your feedback and comments on my articles and this newsletter. Simply reply to this email to share your thoughts.

Cheers,
Max

ā˜• I love coffee, and if you want to support my work, you can always spend me one, or subscribe to my newsletter. šŸ—žļø


Written by maxspeicher | Computer scientist, designer, part-time philosopher. I write, mostly about design and user experience.
Published by HackerNoon on 2024/08/22