Figma (FIG) Q4 2025 earnings call transcript

I would now like to turn the conference over to Mr. Brendan Mulligan. Please go ahead. Good afternoon, and thank you for joining us on today's conference call to discuss Figma's results for the fourth quarter of and full year 2025. On the call, we have Dylan Field, Figma's co-founder and Chief Executive Officer. And Praveer Malwani, our Chief Financial Officer.

During the course of today's call, we may make forward-looking statements, including, but not limited to, statements regarding our guidance and future financial performance, market demand, product development, growth prospects, business strategies and plans, partnerships, ability to attract and retain customers and ability to compete effectively. These forward-looking statements are based on management's current views and assumptions and should not be relied upon as of any subsequent date.

And we disclaim any obligation to update any forward-looking statements. Actual results may vary materially from today's statements. Information concerning our risks, uncertainties, and other factors that could cause results to differ from these forward-looking statements are included in our filings with the SEC, including our annual report on Form 10K for the year ended December 31, 2025.

Our discussion today will include certain non-GAP financial measures. These non-GAP financial measures should be considered in addition to, not as a substitute for or an isolation from GAP measures. Our non-GAP measures exclude the effect of our GAP results of stock-based compensation and certain other items. Reconciliations of non-GAP financial measures to comparable GAP measures can be found in our press release accompanying this call, which is posted to our website.

I would now like to turn the conference call over to Dylan.

Hi, everyone, and thank you for joining today's call. 2025 was a massive year for Figma, and the fourth quarter was our best quarter yet. I'll share a few highlights. We delivered $304 million in revenue last quarter. This represents an accelerated year-over-year growth rate for the quarter of 40%. Our net dollar retention rate for customers with more than $10,000 in ARR also grew 5 percentage points quarter over quarter to 136%. And we generated cash with a non-GAP operating margin of 14%, and adjusted free cash flow margin of 13%, ending the year with $1.7 billion of cash, cash equivalents, and marketable securities.

Our growth and momentum show that our strategy is working as AI gets better, Figma gets better, and we're shipping faster than ever. In 2025, we expanded from 4 to 8 products and launched over 200 features, including new AI-native functionality. This momentum reflects amazing execution by our team.

Thank you, Figmaits. We've carried that same pace and product velocity into 2026. In fact, we're accelerating. Just yesterday, we launched the ability to bring work from cloud code directly into Figma. Let me show you how it works. Let's say I'm a developer building an app that looks like this. Many developers using AI start in cloud code. The terminal is familiar, fast, and powerful.

So now I've brought this app to a decent place. But if I want to make it truly stand out, it needs to be excellent. I need to think about the ways to make it awesome. And that's where things get interesting. Part of me wants to keep polishing, tweaking spacing, adjusting colors, refining every last detail, and you can see I've been painstakingly prompting AI, trying to nudge it towards perfection.

But what I really need to do is step back and explore different possibilities. I need to see the big picture, to bring in the smartest people on my team, and push toward bolder ideas. That's what design is about. Design is about giving people the freedom to explore. It's about asking what if. It's about seeing the bigger picture and pursuing the best possible solution. And it's hard to do that when you're exploring one idea at a time, in a linear fashion, with one screen, one prompt, alone, and a terminal. So we're changing that. We're making design accessible, even from cloud code.

And I can do that by simply typing, send this app to Figma. And when I open Figma, you can see the screen right there. These are fully editable design layers. I can adjust spacing, color, layout directly, which is much faster than all that prompting that I was doing earlier. So now let's go back to the app. I can capture any part of it, and I can send it to Figma. Maybe I want to go to this specific state so I can iterate on it more.

Or perhaps I just want this card, because I'd like to explore how to make it better. In seconds, I can extract the key parts of the experience, and send them right over to the shared canvas in Figma design where my team and I can explore freely. And you can already see my teammates jumping in. Greg is exploring a completely different look and feel. It's bold and unexpected.

Ana is mapping the user journeys and identifying gaps in the experience. Now we're not just polishing one idea. We are exploring many together. I can build on their ideas using direct manipulation, or even prompt AI for variations.

What you're seeing is the power of design in this infinite canvas. The ability to bring everyone together on my team, to explore and riff on divergent directions. To refine ideas with the precision and speed of direct manipulation. Now I can just use my hands to make edits. And I have the ability to zoom out and have the bird's eye view of what's going on and compare things side by side. And once we've explored, we've aligned, we've landed on the best solution, we can simply go back to Cloud Code and use our MCP server to bring these designs directly back into code.

Cloud Code to Figma is one example of how we're making it easier for teams to go from code to the Figma canvas with a lot more to come. And of course, this builds on our existing Dev Mode MCP, which allows users to go from canvas to code. We're excited about what we can do with additional partners via MCP to create a better round trip between design and production, wherever you start. And for many of our users, that work starts in Figma Make, either as a rough idea, a detailed PRD, or an existing Figma design.

And in Q4, usage of Figma Make's search, weekly active users of Figma Make grew over 70% quarter over quarter. And as of Q4, over 50% of paid customers spending more than $100,000, in ARR, we're building in Figma Make on a weekly basis. Figma Make has also unlocked new audiences and new use cases. In fact, of all Figma Make files created in 2025, nearly 60% were created by non-designers. We're talking developers, PMs, marketers, and others inside the company broadly.

Let me share two stories from our customers that show how teams are adopting Figma Make. For the design and product teams at Cisco, deciding what to build and how to build it is a constant challenge. To move faster, they align by making, moving between Figma Design and Figma Make. Designers and PMs often work in the same make file, passing ideas back and forth.

PMs lane forth the broad strokes, designers refine them in real time. That speed is grounded in a strong design system foundation in Figma, where teams work from a shared set of standards. Make templates, kick off projects, and can be adjusted to suit all types of purposes, increasing throughput across everything the team builds, from interactive research readouts to early stage product explorations, and even custom internal tools.

Building on that foundation, a newly formed Agentic Design Ops function uses make to explore AI native workflows, often starting from static design files and turning them into interactive simulations. With Dev Mode now available through the Cisco App Store, many engineers who previously had view-only access have now adopted Dev Mode, improving speed and efficiency by working directly inside of Figma. Together, these workflows form a continuous system in Figma, bringing design craft, engineering, and automation into one connected flow.

We found that for many teams using Figma Make, speed becomes a compounding advantage. At Flexport, teams use Figma Make to solve company problems faster. Every year, they bring the top 150 liters of the company together. This year, they added a hackathon with this challenge. Stop coming up with reasons to choose Flexport. Instead, you have 24 hours to solve one of the reasons why buyers don't choose Flexport.

The competition, run like a March Madness bracket, had basically every team pitching their solution to one of these problems using Figma Make, showing working apps within a day. One of the winners completely redid onboarding a factory to the platform, solving a long time challenge. That idea is shipping to customers within the next few weeks. Another winning team used AI to process transcripts of customer conversations and then fed that data into Figma Make to automatically create custom diagrams.

These diagrams made incredibly easy for sales to contrast before Flexport and after Flexport worlds for the customer supply chain. Figma Make is the preferred tool not only for the design team at Flexport, but also for an even bigger transformation that is now underway. Moving from a document culture to a rapid prototyping culture that solves problems faster. As the Flexport CO told us, the teams that do that with me are the teams that are doing really well.

We're especially excited to see how Figma Make is driving meaningful cross-platform adoption. In Q4, over 80% of Figma Make's weekly active users on full seats also used Figma Design. And to us, that means we need to go beyond features we've already launched. For example, the ability to copy UI-generated Figma Make as layers into Figma Design, or more recently the ability to embed make files as prototypes on the Figma Design Canvas. These are great, but we have an opportunity to drive toward more integrated capabilities that bring these services even closer together.

But going from code to Canvas is only one part of the story. We're also focused on completing the loop and helping teams go from design to production as well. When this happens, we want work-star in Figma to flow easily into the tools developers use every day. With the Dev Mode MCP, which we launched last year, teams can pull design and code-based context built in Figma into the preferred, agentic coding tools.

Customers like GitHub have told us that Dev Mode MCP is a game-changer. GitHub uses Figma to evolve and ship primer, their design system, where even small updates can affect more than 7,400 design tokens and tens of thousands of lines of code. And at that scale, tight coordination between design and engineering is essential. GitHub uses Figma's MCP server and code connect to surface real production design system code directly in Figma. Each component is linked to its canonical implementation, keeping design and engineering aligned.

Changes can be validated early before they cascade across thousands of tokens and components. Code Connect enables GitHub co-pilot agents to generate against authoritative components, improving accuracy and consistency from the start. What once required hours of back and forth during handoff can now move forward in just minutes. Beyond using Figma internally, GitHub is also partnering with Figma at the platform level. And as a key partner in the GitHub MCP registry, Figma makes its MCP server discoverable and ready to power AI-assisted workflows for developers using the GitHub product.

While velocity is critical, the best product teams are not defined by speed alone. You can go really fast and still get to the wrong place. These teams are also defined by their craft. And in a world where software is growing exponentially, design, craft, and point of view are what makes the best products stand apart. But delivering high craft creative work often means stitching together multiple tools each optimized for a particular task.

We're working to bring more of these advanced capabilities directly into Figma. So teams can spend less time wrangling all these different tools and more time designing incredible products and staying in flow state. One way we've done this is through our AI image editing capabilities, which we significantly enhanced with a new set of updates in December of 2025.

In just a matter of weeks, these AI image editing capabilities were used more than 10 million times. More recently, we launched new vector functionality in Figma draw. Vectorize uses AI to transform simple images, like a hand-drawn sketch, into dynamic vector illustrations that you can then tweak, refine, and scale in Figma. As one user put it, this kind of work used to be painful, and now it's a click.

It's clear that our users crave more ways to do their creative work in Figma, which brings me to our Q4 acquisition of Weave. Now, Figma Weave. Figma Weave's AI image, video, animation, and motion generation, alongside precise creative control, expands the creative work possible in Figma. Customers have told us they love how Figma Weave helps them enhance their creative process by bringing craft to everything from intricate compositions to show stopping stage visuals.

One example of this is in video. For the NVIDIA CS keynote, the team set out to create a high fidelity group shot of 20 unique robots for the massive 12K keynote screen. For a moment of this incredible scale, they needed a flexible workflow that allowed for rapid iteration without rebuilding the entire scene. The primary challenge was pixel density. Current generative models are limited to 4K or maybe 5K resolution, meaning that in a single pass, each robot would occupy two small areas to capture the fine detail.

NVIDIA used Figma Weave to generate low fidelity 3D models that locked composition and camera angles. Then they created detailed 4K versions of each robot to fit the final frame. A custom AI agent also built in Figma Weave enhanced rapid lighting exploration before the full scene was generated, upscaled to 12K, and selectively refined for detail. The end result, a cinematic keynote visual powered by a modular AI-driven workflow.

In the future, we believe far more people will create across the Figma platform beyond the confines of traditional product development. To meet that opportunity, we're pushing the boundaries of not only what you can create in Figma, but who can create in Figma as well. And we are accelerating into that future. AI offers a new creative starting point.

It's like clay that you can shape. The first prompt does not need to be the final output. That's where humans come in. And whether this process starts in a terminal, a prompt box with UI in the Figma Canvas, a hand-drawn sketch, Figma is the place where it all comes together. Design is where all of that connects. With code and Canvas, speed and craft, agents and human judgment.

We're excited about what this means for our users and for Figma. We're focused on building the platform that makes this future possible. With that, I'll pass it to Brevere.

Thanks, Dylan. We're proud of how the team closed out the year with another strong quarter punctuating a record 2025. Our total revenue in the fourth quarter was $304 million growing 40% year-over-year and exceeding the high end of our guidance. For the full year, revenue was $1.056 billion up 41% year-over-year, also above the high end of our guidance. Sequentially, Q4 was our best quarter of net new revenue added and drove an acceleration in year-over-year revenue growth.

Our new product launches supported both new customer acquisition and expansion, driving improvements across all of our key business metrics in Q4 compared to Q3.

Our retention and expansion metrics outperformed expectations in Q4. Our net dollar retention rate for paid customers spending more than $10,000 in ARR ended the quarter at 136%. An increase of 5% points quarter over quarter and our highest rate over the last 10 quarters. Our gross retention rate for paid customers spending more than $10,000 in ARR remained consistent at 97%, reflecting the overall durability of our customer relationships.

Q4 demonstrated momentum across each of our customer tiers. We ended the quarter adding 951 net customers spending more than $10,000 in ARR and 143 net customers spending more than $100,000 in ARR growing that tier by 46% year-over-year, a 3% point acceleration relative to Q3. Breaking down growth across the quarter and full year, a few things stand out.

First, we continue to see strong expansion dynamics as our customers broaden and deepen their use of our platform, driving larger renewals. We now have 67 paid customers spending more than $1,000,000 in ARR growing 68% year-over-year. Across tiers, customers are growing their seat counts, expanding into new functions and teams and deepening their usage and engagement. Examples from last quarter include a hyperscaler doubling their footprint with over a quarter of new licenses going to product managers.

A top 10 global bank embedding Figma even deeper in key engineering workflows growing dev seats by 69% and a transatlantic airline going all in with Figma on a multi-year commitment to elevate all parts of their operations from booking and check-in experiences, their loyalty platform, and internal tools for crew and airport staff. The pull from our customers is real.

Second, we've built deeper relationships at all levels within our customer base focused on positioning and proving Figma's value as a system of record across design and product development. We are increasingly partnering not just with design champions, but with central IT on driving the adoption of Figma's platform as a core part of their enterprise technology stacks, enabling more teams across the organization to collaborate in one platform.

And we're seeing growing demand across our customer base for our governance plus add-on as enterprises place greater emphasis on security, compliance, and centralized governance. Third, we continue to invest in our international business. Our international revenue grew 45% year-over-year. While international users represented approximately 85% of monthly active users, they accounted for 54% of revenue in Q4, and we see meaningful runway for continued investment with the most recent being our launch in India last November.

Finally, customers continue to renew into our new pricing and packaging through March of this year, which contributed a mid-single-digit benefit to full-year 2025 revenue growth.

Turning to some key income statement results, unless otherwise noted all metrics are non-gap, we've provided a reconciliation of gap to non-gap financials in our earnings release, which is posted to our website. Our gross profit for the quarter was $262 million, representing a gross margin of 86%. For the full year, gross profit was $931 million with a gross margin of 88%. While customer adoption of make and our AI features continued to ramp with make weekly active users up over 70% quarter-over-quarter improvements and infrastructure optimization reduced our cost to serve each user and led to stable gross margins quarter-over-quarter. Our operating income for the quarter was $44 million, representing an operating margin of 14%. And for the full year, operating income was $130 million, exceeding the high end of our guidance with an operating margin of 12%.

On a year-over-year basis, our operating expenses increased as we invested in our people, infrastructure, and systems to support the pace of our product development and strategic growth opportunities for our business. This was offset by the outperformance we recognized in our top line and gross margin, which flowed through to our operating income. Additionally, our full year non-gap tax rate ended at 14.5%, which we expect to remain consistent throughout 2026.

Our Q4 adjusted free cash flow was $38 million with an adjusted free cash flow margin of 13%. We ended the year with $1.7 billion in cash, cash equivalents, and marketable securities on hand. As we previewed last quarter, adjusted free cash flow declined sequentially in Q4, driven by continued investment in infrastructure and AI, changes in the timing of vendor payments, and a one-time $25 million IP transfer tax payment related to our acquisition of WIVI. These impacts were partially offset by strength in customer collections.

We remain confident in the long-term cash-generating profile of the business. Before turning to our outlook, I want to briefly address stock-based compensation and dilution. Stock-based compensation was elevated in 2025, reflecting the recognition of expenses attributable to the IPO, performance-based RSU vesting, and the launch of our Employee Stock Purchase Program, and equity issued in connection with acquisitions. These impacts were largely one-time and not reflective of our steady-state compensation framework.

Looking ahead, as revenue continues to scale, we expect stock-based compensation as a percentage of revenue to improve. We remain committed to managing dilution responsibly.

Now, turning to our outlook for 2026. When we look ahead, we believe that Figma will continue to set the standard for how great products are designed and built. We are investing deeply in the business to define new AI-native workflows and better support our customers as they adapt to new ways of working. At the same time, we've always been disciplined as we scale our business with a focus on the long-term. For the first quarter in 2026, we expect revenue in the range of $315 million to $317 million, implying 38% growth at the midpoint.

And for the full year, we anticipate that revenue will be between $1.366 billion to $1.374 billion, implying 30% growth at the midpoint. Our outlook reflects the sustained growth and momentum in the business that we experienced in 2025, including benefits from our new products and offerings, seed expansion from new and existing customers, and international expansion. At this time last year, we had no customers consuming AI credits. Today, we're seeing approximately 75% of paid customers with over $10,000 in ARR consuming AI credits on a weekly basis, with adoption continuing to ramp.

Our outlook reflects the seed adoption and usage patterns we're seeing today. We'll plan to refine our assumptions in the months ahead as we continue to both learn from customer consumption behavior and drive further AI adoption around new feature releases. This March is when our model will shift to monetizing both seats and credits, a dynamic that is not reflected in our historical revenue results.

We expect our full-year non-gap operating income to be between $100 million and $110 million. This represents a non-gap operating margin of 8% at the midpoint. In 2026, we plan to accelerate our investment in AI and inference while building a world-class team and go-to-market motion. As a reminder, while we're not issuing quarterly operating income guidance, there is some seasonality in our operating income.

Our Q2 operating income has historically been impacted by our annual user conference config, and we anticipate a similar impact in 2026. We also expect adjusted free cash flow to be relatively consistent with non-gap operating profit for the full year.

To close out, we are energized by the incredible year we had in 2025. We added a record number of new customers, exited the year with accelerating revenue growth, while focused on product velocity. But we are even more excited about what's ahead for us, both for our customers and for the expanding capabilities on our platform.

With that, I'll hand it over to the operator for Q&A.

Like, what are sort of the puts and takes and the dynamics that you're thinking about as these new tools emerge?

Yeah, absolutely. Thank you for the question for for joining us today. So, yeah, I think right now, if you're willing to hand off mission critical work to agents and just to let them do it. You don't supervise, you know, you're a very brave person. But that joke aside, I think it is the case that humans will continue to use software and increasingly agents will too.

And I'm excited about that. I think that this creates more surface for designers to work with and design and think through. I will say that I think that the discourse around UI and how agents will change UI or not change UI.

It is a bit extrapolating from current state. And humans are really hardwired to think and process information visually. Even as agents take on more work, people will still need to understand audit, trust what's happening. And that requires visual interfaces that are human readable.

Lastly, I would just say that we're going to see new interaction paradigms emerge here. And they'll have to be thoughtfully designed, adopted. For example, I think about Figma's multiplayer interface for Figma design and our canvas and how humans work along to other humans. And I think that we'll see agents also working alongside humans, both synchronously and asynchronously. And that again will lead to more intentionality around how to design software and what the surfaces are using to design the first place.

And in a world where coding is just no longer constrained design craft point of view, that's the differentiator. And I'm really excited for that future.

Yeah, appreciate the question, Arjun, and good to hear from you. You know, I think if I take a step back for a second and just think about what we've been doing as we've embedded AI across the entirety of our product suite. You know, everyone from a user who's a starter user on a free plan has access to credits that we've embedded within their seats.

So, you know, for some time now, we've already started to see usage ramp. You know, we shared in the prepared remarks about 75% of our 10K plus customers today are actually consuming credits on a weekly basis. And, you know, this is an evolving number because we continue to introduce new AI features and surfaces that continue to draw an ever increasing number of credits over time. You know, we based our guidance on an understanding of, you know, current observed seed adoption behavior and usage trends.

You know, we expect that to be refined as we both introduced new surfaces, as well as really start to navigate that at that point after we've begun to enforce our seat limits. You know, there's an opportunity here to overperform as we build confidence in the observed usage behaviors, but we'll continue that to add additional value. To our users along the way. So, you know, we're excited here. I think we feel we feel, you know, we've got some, you've got a whole bunch of irons in the fire here and, you know, we'll continue to refine our focus and story in the coming quarters.

Yeah, thank you for the question. And it's definitely something that we're excited about in tracking. As Brevere mentioned in his remarks earlier, we are seeing customers that are bringing, for example, product managers into the life cycle. And certainly as we use figment make, not just internally, but also witness with some of our customers internal tools, which can mean all sorts of different personas are quite interesting.

So I think that overall there's a lot of opportunity to start to reach into use cases like UX researchers and other use cases around the team as well. And with that said, I think that there's much more to do here and we're excited to go do that.

Yeah, I mean, I think there's a few things that that'll occur this year that are different from last year. And as we transition and as we continue to invest in the business, that was the spirit of the of the comment. So, you know, this will, you know, this will be a full year of us serving our features. We GA them in the summer of last year. And as we start to see the continued ramp there, you know, the expectation on what it does to margin is what we folded through the guide. You know, I think what what is what is starting to get interesting here is as we start to introduce, you know, yet another monetization lover for us in the introduction of our credits.

It starts to create a little bit more of a natural offset there over time. So, you know, I think we'll share more with you guys as we start to observe it, but right now I think that's the best way to model it today.

Yeah, thank you for the questions and I'll start off with the first one. I would just say first that one thing that is interesting is how virtually every frontier lab is using Figma to design how they bring their models to users and shape their product surfaces.

And they are also been great partners with us. So, you know, that has been just interesting to see firsthand. I think zooming out RAI strategy is pretty simple. We always want to be in the place where as models get better, Figma gets better and, you know, easy to say, but you have to make sure that that is the case for everything we do. And also that we can have an edge. And I think that one thing that answered your questions directly around sort of where the lines between is I would focus on tasks which are more verifiable.

Versus non verifiable design is inherently non verifiable. And I think that's why you're going to see humans in the loop and even more focus on design as well, because as code becomes something that more people can do with the assistance of models, the value will move up the stack. And with the value moving up the stack, I believe we're going to see an even greater focus on design. And we're already seeing it, I think, with the higher people are making and the ways that non designers are getting involved in the design process career.

Yeah, and I'll answer your question on pricing and packaging there. So, you know, just as a reminder about three quarters out of the initial rollout of the changes that we implemented in March of last year. So, you know, the way that this is going to track to revenue as folks are filtering in through the renewals, you have a growing benefit there over the course of the year. We lapsed that anniversary in March of this year, and then you'll start to start to see a waning benefit towards the backup of this year. So, it's a little bit like a bell curve there where, you know, it grows over, it grows over the first four quarters and then it'll win over over the next four.

Thank you. Yeah, thanks for the question. I think that some of the broad strokes we're seeing are really around the power of using Sigma May alongside Sigma Design. And, you know, one stat that we shared in the earnings call is how over 80% of full seat users of make are also using design. And so I think that is an area that as we look ahead, we're really excited to lean into more is to really try to unite these surfaces better. We've seen it already with things like copy layers from Figma Make into Figma Design or taking embeds from Figma Make and putting them into Figma Design, but it's just a start. And I think that there's so much more we can do here in a big part of the platform differentiation will have will come from the unification of the surfaces.

I also think that it's really important to remember that the round tripping between code and design can really set us apart here. And I am just very bullish on the opportunity that could exist with that round trip.

Yeah, that all makes sense.

Yeah, I'll start first. I think that, you know, some people are starting to call themselves design engineers. We've seen that in the past as well. You know, there's been sort of surges around. Even eight, nine years ago, people getting really excited about calling themselves design engineers and then kind of went back to product design. And now that term is coming up again.

But I would say overall, we're not really seeing the roles blurring more the responsibilities blurring between roles, not just between design engineering design. But the role is more broadly, you know, as you go out to the product design and lifecycle, you know, PM.

Engineering design research at marketing even. Responsibilities are starting to blur. People are feeling the need to be more generalist. And so I think that it's hard to split in a very accurate way because so many people that are non designers by title are starting to really engage with design tasks. But I'll hit it over here to speak more. Yeah, and then I think, you know, as it relates to the sales process and who we're having conversations with.

I think we've, you know, over time, elevated the conversations to, you know, to IT that gives us access to to broader budget. You know, and when you when you then kind of look at the types of users that we're bringing in, there was a few that we spoke about in the prepared remarks that, you know, the ones that stand up or rather the one that stands out to me is is the hyperscaler that doubled their footprint with about a quarter of their new seats going to product managers. And this is not a, you know, unique instance. We're starting to see this happen more and more so throughout the customer base. And so our expectation is that, you know, we're pitching wider.

We're preaching broader. And it's the overall platform that's ultimately winning here.

And then I've got a quick follow up here. Sure. So I think that right now, as we think about our core with design and just the opportunities that models provide as they advance with code, that is a big part of our focus. And the opportunity to partner deeply and to really make sure that we are thinking in the right ways about how models will continue to have new capabilities in the future, and then to make sure that we are accounting for that in our product roadmap, as well as working closely and integrating well with various model providers is something that we paid a lot of attention to.

I think going forward as we think about some of the things we've seen with, you know, for example, Figma's apps on Chachibut as well as Claude, there is definitely stuff that will explore there as well. But I think it is maybe secondary to the primary objective of just having that amazing ability to work and go from code to canvas and canvas to code and back again. That round trip is what we're really focused on and making sure that we are always meeting the criteria of as models get better, we're getting better.

It's very consistent with what you've talked about before and how the landscape seems to be shifting. Maybe as we think about, you know, that mix two pieces. Number one, how do you expect, given some of the early traction you're having with your native skills? How do you expect that mix to shake over time? And then alongside that, how do you, you know, what tools in your arsenal do you have to at least have visibility and predictability into future revenue.

So the model itself doesn't become overly volatile as we navigate through this change. Thanks so much. No, I appreciate the question, Rashid. You know, I think the way that that I'd frame it is, you know, we've already started studying this, this usage and utilization behavior, you know, and you know, we've been prepping for this hybrid model for some time. You know, we basically have telemetry into, you know, the overall, the overall seat.

Rather, the overall credit consumption on a on a per se basis and what we've observed it is it tends to be. You know, a power law distribution where a subset of users within an organization are receiving outsized value and as such are going over the projected limits that we intend to enforce. Now, you know, our expectation is that that will continue to evolve as we introduce more service for services for folks to be able to draw down credits.

We'll create more opportunities for us to, you know, have that continue to shift that distribution further and further right. The way that our AI add-ons are structured, they're structured as, you know, additional seat or additional consumption packs, in addition to providing folks the opportunity to pay as you go. So in the instance that you're purchasing an add-on pack, you know, it co terms with your subscription and we have more predictability in that. And on the pay as you go side, you know, that is more meant to be for for burst type activity. So ultimately, it'll be a mix. We're studying it very, very closely. And I think, you know, as we get post the actual monetization date is one will is one will be able to further refine our assumptions.

Your point on, you know, us continuing to invest on the side is what's showing up flowing through both through gross margin and ultimately will hit our off our off bank and not margin there. You know, at this moment, we're not, we're not kind of sharing more specifics on the gross margin side, but you know, it is meant to signal that we do see that there's a pretty large opportunity for us to take more AI features to a broader set of our users. And so that that's what we've used in our guide to express our confidence and excitement to further invest here, ultimately with the goal of driving, you know, growth and ubiquity of many of our solutions and durable growth over the long term.

Yeah, I was going to add, like if there's ever time to put your foot on the gas and make sure that we are lean into the future, this is the time. So I just want to be clear about that. We can intend to invest here, do so responsibly, but make sure that we are setting ourselves up to capture the opportunity in front of us, which we think is very sizable.

Yeah, I mean, there's definitely opportunity there for us. I think what we're experimenting with is a whole bunch of different types of tools. We're iterating on different ideas and then observing overall efficiency of the team. You know, we don't see that. We don't see it as a tool that replaces our talent, but rather, you know, how can we augment the team that we already have. So we will continue to hire, but we will also be able to complement that with efficiency gained by some of the tools out there as well.

Yeah, I mean, I think it's a, there's plenty of times where I hypothesize, but it's probably not the format for a hypothesis.

And I would say that overall, you know, this is very much in the too early a telecamp. We just launched this yesterday. And so I am excited to learn more, but right now we're still at a very early place here. I think though that if you look at the workflow overall, you know, it used to be the case like even for sure a year ago, perhaps even six, nine months ago, that a lot of people saw the workflow of product development is very linear. And, you know, you would do stuff like brainstorming and then design and then you'd code.

And right now we're seeing it in a place where people might start anywhere and then we'll be able to go everywhere. And so I think this plays directly to our strengths, making it so that you can really go into the thing was on canvas.

And with the in the case of make really couple up figma make with figma design and make it so that you can go and explore divergently.

And really have that bird's eye view zoom out and understand what's possible. The way I think about it is you're sampling this infinite possibilities base and you're trying to determine what are the right options to go explore in that space and then push them forward with design. And I think that you can do that through code, you can do that through design, but code is more linear.

It's more you're really advancing one direction and so you might be moving fast, but make sure you go into the right place before you go too far. Whereas design, you're really thinking about what are the range of possibilities I should explore and you're weighing them and figuring out the trade offs. And I also think the opportunity for Polish and craft and design is quite high.

And that gets me very excited because we've really tried to make sure that direct manipulation works so well in figma design and the opportunity to use your hands and just be in a state of flow. I think is a big opportunity for our customers and so much more efficient than prompting a lot of examples. Overall, I would say figma has the opportunity to be the place where all this comes together.

The round trip, the direct manipulation, the divergence of different possibilities as well as picking a solution and then saying, okay, I want to go code this up.

So, we'll see how the future evolves hard to predict when these capabilities come in line, but we're really excited about our position here.

Well, I would say for make, obviously, you know, getting tons of attention. You notice that, and then as it comes to you draw buzz and sites, I would say that draw. I mean, definitely the engagement with some of the features we mentioned in the prepared remarks has been really encouraging.

And then I would around buzz and sites. I would say these products are still early in their lifecycle. And so we are definitely learning a lot here from our users, as we always do. And we're seeing promising early traction. And while I don't have numbers to share. I think that there are definitely customer examples. For example, you know, one is from a mag 7 customer where with their creative team.

They've been able to really been able to run a global holiday campaign through FEMA buzz and produce just an incredible amount of assets. I think over 5,000 across 30 countries.

And for the lot of scale, you can get from buzz. And also in some ways from wavy to, which is a different use case, but has shared properties. We are really excited about how you can actually go create workflows for people. When it comes to sites, I would just say that there is a real need on the workflow side of going from a design and figment design to something that is published on the web.

And that workflow need is incredibly important. And we're excited to help people go from design to production in general, but this is a very particular path. And whether it's figment sites or figment make. We're really watching closely how customers are completing that journey in Figma. And we're broadly across all these products. We're watching the way that people use them, making sure they have what they need. And also paying attention to the constantly changing environment and landscape that we're in. And so that way we can plan and build accordingly.

I'll actually punt that one to Pervir. I mean, there's a bunch of them that I'm excited about. You know, I think we call that some of the momentum on make there. We, you know, we grow our weekly active users 70% quarter of a quarter. And, you know, we start to see the adoption across our larger customers. So, you know, the 100k plus customers going from 30% creating and make up to about 50% by the end of the year there. You know, when I when I stare at dev mode, I think dev mode continues to be a very, very important part of the overall workflow. We see excitement, not just from our, you know, from folks that are upgrading for the seat, but for folks that want to want to make use of dev mode MCP.

It's an emerging trend that, you know, we found our customers is really resonating with our customer, really resonated with our customers. We can now have this opportunity to really round trip. Given the given the integration partnership we launched with the canvas with cloud code to the canvas yesterday. And, you know, our hope here is that, you know, what we're taking to our customers customers is a full product platform and sweet.

And as we do so, you know, it gives us an infinite number of ways to position how these things kind of come together.

You know, we're still going through the last set of renewals here. That are, you know, make that that are folks that are renewing on to the new pricing and packaging that we launched in March of last year. So, you know, we'll anniversary that in March of this year just which just so happens to coincide with the launch of our make add-ons and credits.

You know, the way that we framed how make shows up and broadly our AI features show up in our guide is we baked it based off current utilization and adoption trends, both on seed adoption trends, in addition to credit utilization patterns and trends. What we expect to see is as we introduce more surfaces for folks to be able to draw down credits that will start to see more and more folks that would potentially land in the camp of needing an add-on.

So what I would expect over time is that, you know, it's not necessarily going to be a fire out of the gate, but a slow build here with us wanting to make sure that we're really serving our users and meeting their needs. And then, you know, the, you know, the onus is on us to continue to deliver value over the long term.