Jerde Analytics

Jerde Analytics

Business Consulting and Services

Los Angeles, California 198 followers

Jerde Analytics decodes complex data for corporate real estate clients, translating insights to optimize workplaces

About us

You are a corporate real estate decision-maker who has invested in workplace data: collection, aggregation, management and Business Intelligence (BI) reporting. Your C-Suite is relying on you to provide a critical strategic decision on the current and future state of your enterprise's workplace portfolio. Your first instinct is to pull up a beautiful workplace dashboard to inform your strategic decisions. A sense of panic suddenly overwhelms you: "What the heck do I do with this?" You aren't alone. Translating data into action is not a trivial, and even the most skilled junior analyst on your team or AI Agent do not have the domain knowledge to maximize the power of your proprietary datasets. My services include: 🤔Revealing the trends that inform the future demand, and optimal supply, of your portfolio. 🤔Developing specific workplace KPIs to transform how you approach workplace performance. 🤔Deriving strategies so you can minimize current occupancy costs with little to no investment. The use cases in workplace strategy are vast: space planning, occupancy planning, strategic planning, hybrid workforce assessment, design guidelines development, portfolio forecasting, and financial optimization. I provide you with the insights that you are missing from your current dashboards and investment in workplace technologies. My superpower is elevating the use of your proprietary data, and expanding the breadth and depth of application beyond corporate real estate. Unlike other consultants in the domain of workplace analytics: ✅I'm unbiased: 99% of consultants are aligned to large brokerage firms and architecture firms ✅I use whatever data you have that is useful (agnostic to platform). ✅I’ve been innovating with workplace data for 20 years: chances are that we’ve trained analysts at the larger firms or we trained their trainers ✅I’ve worked across industries and various phases of the business cycle so have a very wide breadth of experience. DM me for more info

Industry
Business Consulting and Services
Company size
2-10 employees
Headquarters
Los Angeles, California
Type
Privately Held
Founded
2018
Specialties
Return to Office Analysis, Hybrid Office Analysis, Data Science, Corporate Real Estate, Management Consulting, Business Strategy, Analytics, Facility Management, Space Planning, Workplace, Return to Work, and Remote Work

Locations

Employees at Jerde Analytics

Updates

  • DATA REQUEST: I am doing research on the performance of workplace renovations and build-outs post-pandemic which were meant to better support the needs of hybrid workers. "Performance" means (1) attendance relative to total RSF and/or seat count, and (2) end user satisfaction with hybrid workplace effectiveness to support focus, collaborative and social activities. If anyone has data or knows of a data source, please DM me! Thank you.

  • “I want all of my data integrated into a single platform, so I can run analytics without silos.” Makes sense. Who wants to waste time joining data? The ROI is obvious. But what is the end game? Integrated data are more powerful than many analysts realize. Modeling becomes possible. For example, imagine integrated badge and utilization data for 2 buildings. A lower value use is to report building data side-by-side (exhibit left). While these buildings have the same average badge attendance, building 1 has higher utilization which suggests higher efficiency. A higher value use (exhibit right) is to examine their joint properties through statistical modeling: 🤓At low levels of attendance, room demand is considerable. 🤓As daily attendance grows, room demand surges, suggesting a “rush to rooms”. 🤓Building 1 escalates more quickly, suggesting higher degrees of stress. 🤓Room demand levels out with badge attendance ~40%+. This leveling effect is mostly due to the supply of rooms being fixed. (< 100% utilization) 🤓Building 1 is in big trouble. At 20% attendance, the room program is already in deficit. 🤓Building 2 looks much more favorable. If attendance increases, collaborative demand appears to be fulfilled. The lesson here is that there is a value spectrum to integrated data. Make the most of it!

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  • Those in the workplace occupancy measurement business will be very familiar with this chart. The gist is that people, on average, show up in the morning, go out for lunch, and leave in the afternoon. Two common reported metrics are “average occupancy” and “peak occupancy”. I’ve repeatedly found that clients in the workplace decision-making business don’t know what to do with this (and I don’t blame them). The average tells clients that occupancy is above and below it. The peak tells clients what their highest occupancy is. But so what? Excellent question. People don’t experience averages, and they rarely experience peaks. If a client needs to make a decision appropriate for their workplace and their workforce – which is often the point - these exhibits are of limited value. The analyst needs to go behind the numbers, understand the client, develop a diagnostic and make a specific set of recommendations on what a client should do to achieve their objectives. At Jerde Analytics, we’re in the ‘so what’ business. We’ll take any occupancy data source and translate it into action statements, not an endless series of charts and metrics. If you would like to schedule a discovery call, please contact us at www.jerdeanalytics.com. ➡️#jerdeanalytics #futureofwork #workplaceanalytics

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  • View profile for Chris Jerde, graphic

    Many clients are relying on their Wi-Fi networks to estimate onsite workspace occupancy. And while it is hard to beat the price of the data (aka free), it’s important to remember that sometimes you get what you pay for. We work very closely with clients and occasionally are asked to test raw Wi-Fi network data for its accuracy as a proxy for onsite occupancy. We’ve found that unique device pings to Wi-Wi networks can be an extremely poor, garbage-in, garbage out metric for occupancy if not treated appropriately The chart below shows that when compared to onsite person counts by human observers, the unique pings were ~25% of actual occupancy. Our advice is that before relying on Wi-Fi data to estimate occupancy, a client should hire a reputable service provider to calibrate the signals to reality. At Jerde Analytics, we always start our engagements with a full data audit to ensure all relevant data are quality inspected prior to use. ➡️ #jerdeanalytics #futureofwork #workplaceanalytics

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  • Clients are increasingly (and correctly) paying attention to a key workforce attribute when planning space: team size. This is critical because “teams” – a set of individuals who interact multiple times daily – need to be co-located onsite to be effective. Ideally, a “team area” is right-sized: the supply and variety of spaces are perfectly aligned with the size of the team. But how do planners accommodate the exceptions? Larger teams are more likely to be crammed into too little space and/or team members are split across team areas. This chart shows the negative effects of having a team area program that lacks flexibility. Modular furniture and fixtures – as well as new technologies that automate seat assignments on an as-needed basis - are large steps forward. At Jerde Analytics, we look deeply at the distribution of team sizes across an organization to right-size client’s approach to occupancy planning for teams. ➡️#jerdeanalytics #futureofwork #workplaceanalytics

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  • Now that post-pandemic impacts on office attendance are beginning to settle, we are seeing signals that some companies have cut too much employee workspace. If attendance or headcount grows, these companies are forced to “compress” their workspace by adding more individual seating to the open plan. Our research has shown that compression not only yields a reduction in self-reported individual effectiveness, but also that the relationship is non-linear. As compression increases, self-reported effectiveness decreases at an increasing rate. Our advice for clients considering a space reduction is to risk-adjust their scenario planning by leveraging client proprietary data on how employees work. ➡️ #jerdeanalytics #futureofwork #workplaceanalytics

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  • While there are countless factors which contribute to productivity in the office, none is more discussed than focus efficiency in an open plan environment. When we look across the globe, we find a wide discrepancy in how knowledge workers describe their own focus performance in an open plan. The United States is expectedly on the lower end of this list, but there are some countries/cultures where the open plan gets less grief. Guess which knowledge worker population responds the best to focusing in the open plan, and who responds the worst? Answer to be posted Wednesday at 5PM EDT; mark your calendars! ➡️#jerdeanalytics #futureofwork #workplaceanalytics

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  • Fundamentals matter. In our experience analyzing workplace performance surveys, there is one user priority that keeps rising to the surface. What matters most to knowledge workers is their workpoint. It's not office aesthetics, onsite baristas, or innovation hubs. It’s where knowledge workers earn their keep – either in the office or at home – in front of a digital interface, aspiring to be productive. Team spaces and hardware functionality are also important. Maybe if employers prioritized the workpoint experience, return-to-office might be a little more attractive? ➡️ #jerdeanalytics #futureofwork #workplaceanalytics

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  • Once upon a time, the primary use of a meeting room was for, well, meetings. No longer. The most likely activity in a multi-capacity room is now a single person on a virtual call (44%). Group work only accounts for 37% of observed room activity. Even companies that claim to be “mostly in office” are finding that single-person virtual work is everywhere onsite. Traditional workplace programming has yet to adapt (who wants a workplace full of booths?). Jerde Analytics interprets client data to align behavior and space and to inform what is the right workplace solution for an organization. ➡️#jerdeanalytics #futureofwork #workplaceanalytics

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  • Data on workplace attendance, occupancy and space utilization can be revelatory for a client. One common insight, even before the hybrid era, is that average occupancy conditions are “low” in percentage terms (spaces occupied / total spaces). But too often we also see kneejerk reactions on how much money can be saved by cutting “under-utilized” footprint. While this can be feasible in many cases, indeed a central objective to much of our work is the identification of cost saving measures, this proposition can also be misleading given the characteristics of a high-performing and resilient workplace. Our latest article offers insights into cost-saving measures in workplace strategy, drawing on our years of experience. We look forward to your thoughts and comments! ➡️ https://lnkd.in/gbJCpZM6 #jerdeanalytics #futureofwork #workplaceanalytics

    From Low Utilization to Your Bottom Line: A Reality Check — Jerde Analytics

    From Low Utilization to Your Bottom Line: A Reality Check — Jerde Analytics

    jerdeanalytics.com

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