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Lessons Learned Living the Virtual Experiment

.orgSource

COVID made us lab rats in a variety of unusual experiments. Remote work was one of those unsettling tests. it was also an experience that transformed the employment landscape. Maybe you aren’t ready to call your experience a win. The post Lessons Learned Living the Virtual Experiment appeared first on.orgSource.

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Audience Research vs. Usability Testing: Which to Use When

Forum One

How can you understand how your audience perceives a digital tool, an online experience, or the world more broadly? How can you best put yourself in their shoes, gain insights from that process, and move forward to create an even better tool or experience? Usability testing: Defining the experience.

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Get More Out of AI, Start Chatting

.orgSource

Maybe you’ve already experimented using generative AI to create content such as outlines, agendas, or even articles. Create a personalized chatbot to interact with members, answer questions, and offer customized recommendations. Develop an interactive onboarding chatbot to help new members navigate the offerings.

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Are Marketing and Membership at Opposite Poles? Take the Journey to Collaboration

.orgSource

If these two drivers of engagement are a world apart, it will be challenging to deliver the seamless experience customers expect from their favorite brands. The days when board members holed up in a conference room and mapped the organization’s future based on anecdotal evidence, political expediency, and personal experience should be over.

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Three Data-Informed Strategies for Better Member Engagement

Association Analytics

And even when measured, it can be tricky to know how to use engagement scores to improve member experience and operational results. Once the team aggregated the data and they were able to form a hypothesis, test it and confirm a need. Each session has a themed topic and some sessions may include a 15-20-minute presentation.

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RAG-Enhanced Conversational AI: A Comprehensive Guide

Forum One

It’s important to be able to test various pre-trained models to determine which delivers the best results. This includes setting up feedback loops from user interactions and vetting and testing models with internal stakeholders before wider release or adoption by the public.

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The Bots Face Off – Or Do They? ChatGPT Versus Bard

.orgSource

I conducted my own little experiment. Initially Bard, the underdog who I was rooting for, failed this test miserably. Conversational Abilities: ChatGPT is specifically designed for conversational interactions with users. The C-Bot is the clear winner of this test. Conduct your own experiments. So, keep me posted.

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