Katie Robinson, Chief Marketing Officer, LS3P

Talk Description
At LS3P, knowledge management started with a single project: building a data manager program to improve the quality of project information. Over time, that initiative sparked a larger strategy—one that now connects marketing, KM, and AI into a unified system for learning, communication, and practice improvement.

In this talk, Chief Marketing Officer Katie Robinson shares how LS3P is connecting the dots across disciplines to make better use of their people and content. She’ll begin with the firm’s data manager program, which ensures consistent data collection from project start to closeout—and feeds everything from analytics dashboards to survey responses. She’ll then walk through LS3P’s AI-powered marketing assistant, which helps team members find better proposal content faster, reducing the time spent hunting through old documents and increasing the time available for strategic customization. Finally, she’ll spotlight “Expert Hours,” a casual but powerful mentorship series that surfaces critical knowledge from senior staff—and fuels both search and marketing insights in the process.

The result is a culture where knowledge flows in multiple directions so it can be captured, reused, and recombined to support both business development and professional growth.

Speaker Bio
Katie Robinson is the Principal and Chief Marketing Officer at LS3P, where she has significantly enhanced the firm's marketing, knowledge management, and business strategies. Under her leadership, the marketing department transformed into a dynamic creative agency, excelling in communications and brand management. She also spearheaded the establishment of LS3P's Data Manager Program, solidifying her leadership in the AEC industry by bridging the gap between data-driven insights and exceptional design.

Christopher Parsons of Knowledge Architecture interviews Katie Robinson of LS3P at KA Connect 2025.

Q+A Timeline

00:00 How do you sustain the data manager program?
02:05 How do the mechanics of data management work?
03:51 What's the hardest part of keeping this running?
05:11 Will you ever get beyond 80% data collection?
07:39 Do you go after all or just important projects?
08:37 Do you vet data for proposals?
10:13 How do you encourage data collection?
12:22 How will you approach employee data?
14:39 Do you train your interviewers?
19:27 Do other experts weigh in during expert hours?
20:25 How do you decide whom to interview?
22:47 How big is your team relative to the firm?
25:20 Any lessons learned for getting started with KM?