Good afternoon, and thank you for joining Forrester's 2025 Q3 Investor Call. Today, I'd like to cover the following topics: one, our Q3 performance; two, an update on our go-to-market approach; three, the launch of the new AI access product; four, the research business in the age of AI; and five, feedback from our Board of clients. The macroeconomic environment continued to be challenging in Q3, highlighted by the rolling U.S. federal government pullback from consulting. Q3 is historically the largest bookings quarter for our government consulting business. We were well below our target and overall consulting revenue declined 8% from the prior year. In addition, research revenue declined 6% in the quarter, driven by bookings and challenges from previous quarters. Total revenue declined 8% from the prior year. Wallet retention was up 1 point to 86% and client retention held at 74% compared to Q2. Chris will give more detail on the quarter in a few moments. In the Q1 and Q2 calls, I noted that the final step in the product transition is transforming our sales engine to consistently sign new Forrester Decisions clients and grow existing accounts. We made progress in the quarter on several fronts. One, average time to hire reps is running at 55 days, improving on our goal of 60 days, and there's very good sales talent available in the market. Two, the sales force continues to adopt the Forrester Agile Sales Technique or FAST sales methodology. We ended the quarter with the highest percentage of reps certified and with all managers now qualified to run fast deal clinics. And three, our demand marketing engine continues to improve, driven by stronger alignment between our sales and marketing teams. The result has been increased prospect follow-up and a higher rate of opportunity creation from marketing efforts. Areas where we are focused in Q4 are: one, maintaining consistent sales activities; two, improving execution of our retention life cycle; and three, maintaining a rolling pipe of $550,000 per quota-bearing headcount. Moving now to product changes. We announced AI Access, a self-service AI offering on September 9. As you know, Izola, our generative AI model, launched over 2 years ago. Clients use Izola on the Forrester Decisions platform as an alternative to search, enabling them to quickly get answers and to create custom content from Forrester's proprietary model. Izola has become one of the primary ways that clients use our research. For clarity sake, Izola is a model built by Forrester that yields answers based on Forrester's research. This content is not available in any other generative model, including the public LLMs such as Claude from Anthropic, ChatGPT from OpenAI, and Gemini from Google. Unlike the public models, Forrester's private model is based on tens of thousands of Forrester Research artifacts, which include exclusive frameworks, ideas, data, product evaluations, best practices and benchmarks. The Forrester model yields answers that are proprietary and trusted. So where does AI access fit in our product portfolio? The current Forrester Decisions portfolio includes three levels of research access: VIP, which is research plus a dedicated advisor; leader seats, which is research plus the ability to have unlimited guidance sessions with analysts; and team seats, which offer research plus the ability to attend leaders' guidance and inquiry sessions. Clients have told us that in addition to VIP leader and team users, they want more executives using Forrester's research without access to advisers, customer success or analysts. These executives are often part of the VIP or leaders' teams, but they don't yet need continuous guidance. So AI Access provides an entry level for executives within our client companies to use our research, accessing Forrester through an AI prompt and Izola homepage. We introduced the product for three reasons: one, to attract new clients. AI Access will widen our client base and enable more executives to use Forrester; two, enrichment, AI Access provides streamlined self-service in a fast, trusted way for clients to get answers; and three, win backs. We will use AI Access to reintroduce former clients to Forrester Decisions. With the advent of AI Access, we have widened the Forrester Decisions portfolio, enabling us to land and expand with a wider group of executives and helping them align their initiatives and thinking. We are democratizing access to our research, making it easier for larger teams to get the answers they need to make collective decisions. AI Access is our entry-level research product. Volume pricing is available based on the number of seats acquired. Since the mid-September launch, we have seen significant interest with a multimillion dollar fast-growing sales pipeline. In Q3, we secured one of the largest research deals in Forrester's history with a large government agency that is modernizing their organization and is pushing toward fully AI-enabled decision-making. Our ability to offer this client an enterprise-wide pricing model via AI Access was a key differentiator, enabling thousands of users to gain access to our research in that account. We are off to a great start with AI Access and believe that the product will quickly become an important part of the Forrester Decisions portfolio. Now before I leave the topic of AI, I want to say a few words about Forrester's place in the AI future. I know that there have been many questions about the value of research in a world in which public large language models are becoming more adept at answering questions. In that future, what will Forrester's role be? Generative AI is good at enabling people to converse with broad data sets. In the case of the public language models like ChatGPT, that data set is built from what is called the common crawl, publicly available information scraped from websites. But as you know, that information does not include private data from sources like Bloomberg, Dun & Bradstreet, FactSet or Forrester. And of course, the public models do not include information like your bank account. To converse with that data in the future, you'll have to go to a private AI model built by Bank of America or Barclays as examples. Public AI will never be able to construct trusted data from thin air, just as it will not be able to conjure your bank balances without access to your bank. So in the age of AI, Forrester will be akin to a private research bank, creating and curating four proprietary assets: one, data. We will construct protected data sets and analyze them against longitudinal studies that the company has built over the last 3 decades; two, original ideas and frameworks like our