> For the complete documentation index, see [llms.txt](https://akron.worldiaday.org/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://akron.worldiaday.org/people/marc-majers.md).

# Marc Majers

<div align="left"><figure><img src="/files/yxA7LK3Zv4mpbzxNAheJ" alt=""><figcaption></figcaption></figure></div>

Marc Majers is an author and lead user experience researcher at Progressive Insurance. In addition to holding a master's degree in Information Architecture & Knowledge Management with an emphasis in User Experience Design, he is a certified usability analyst through Human Factors International and UX Certified from Nielsen Norman Group. His skills range from user research, interaction design, digital strategy, conversion rate optimization (CRO), and usability testing. He is a board member of UXPA Cleveland and Better World Day.

More information can be found at [http://marcm.com](http://marcm.com/)

### Community Involvement

* YYYY, Speaker, "[TALK TITLE](/events/template-akron-yyyy.md#hh-mm-am-pm-talk-title-speaker-s)"&#x20;
* Organizer, [\[TEMPLATE\] Akron YYYY](/events/template-akron-yyyy.md)

### Connect

* <i class="fa-globe-pointer">:globe-pointer:</i> Website: <http://marcm.com/>
* <i class="fa-linkedin">:linkedin:</i> LinkedIn: <https://www.linkedin.com/in/mmajers/>


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://akron.worldiaday.org/people/marc-majers.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.