Shaunt Voskanian | 20VC Summary

1. Key Themes

PLG Is a Foundation, Not a Ceiling — Sales Still Wins the Enterprise

Figma's growth story is often told as a pure PLG success, but Shaunt reveals that the most valuable motion today is actually outbound sales into the existing customer base. The real unlock is treating happy self-serve customers as untapped territory, not closed deals.

"Not 100% of our business is outbound, but 100% in that what the sales team is doing at Figma is majority outbound today. Now it's outbound though into an existing customer base. That's the part that's unique." — Shaunt Voskanian [00:09:32]

"If you look across our customer base, and this is even true today, you compare what an average customer is doing with Figma compared to what we think they should be doing with Figma, there is a pretty big gap and a pretty big discrepancy." — Shaunt Voskanian [00:10:36]

Prescriptive Insight Selling Beats Feature Selling

The core of Figma's enterprise motion is reps showing up with knowledge and benchmarks from best-in-class customers — not product demos. This is a deliberate philosophy, not an accident.

"What they really want is insights. They want to know, what can you teach me? What are your other customers, your best customers doing that we haven't figured out yet? And that's very much what we are preaching to our sales team every single day." — Shaunt Voskanian [00:06:28]

"Educate them. Teach them something that they don't know that's going to make them and their teams more effective at their jobs. That's the first thing that comes to mind." — Shaunt Voskanian [00:22:04]

Quotas Are a Lagging Indicator — Behaviors and Competencies Are What Actually Predict Performance

Shaunt's most provocative thesis is that managing to quota creates lazy leadership. Instead, his framework focuses on real-time observable inputs: pipeline generation quality, discovery execution, methodology adherence, and attitude.

"My hottest take on sales performance... I kind of don't care if you as a rep hit your quota or not... I think quota is too much of a lagging indicator. And I think what my fear is it creates lazy leadership if we're performance managing based on the idea that someone got to their number or didn't get to the number." — Shaunt Voskanian [00:43:41]

"I want leaders to be in the details. I want leaders to not be talking by, well, I got to move this person out because they didn't hit their quota. I want them to say it's because this person isn't showing up right." — Shaunt Voskanian [00:48:28]

2. Contrarian Perspectives

Quotas Are "Kind of Made Up" and Coverage Math Is False Comfort

Most sales leaders build their plan by working backwards from revenue targets to quota coverage ratios. Shaunt argues this provides a false sense of security and has no real predictive value.

"My perspective is quotas are kind of made up. What I mean is I think there's this kind of prevailing wisdom with quotas... if I've got 600 million of quota out there, that means even if people end up at 80% attainment, I'm good. And I just think that's made up. I don't think that has anything to do with how people are actually going to do." — Shaunt Voskanian [00:22:21]

No CS Team, No SDRs — And Figma Has ~500K Customers

The conventional wisdom is that you need CS to retain and expand accounts and SDRs to generate pipeline. Figma has scaled to ~$1B ARR with neither, replacing both functions with a hunting motion by AEs who own both pipeline generation and expansion.

"We don't actually have a traditional CS team... We also don't have traditional SDRs. We really tried to be first principled with how we built the go-to-market at Figma." — Shaunt Voskanian [00:10:10] and [00:14:54]

"AEs have to be responsible for their own PG. Like full stop. That is consistently true anywhere I've been and I firmly believe in it." — Shaunt Voskanian [00:15:20]

Seat-Based Pricing Is NOT Dead — At Least For Design and Builder Tools

While the tech media consensus is that seat-based pricing is collapsing under AI, Shaunt pushes back with actual data: Figma's net revenue retention improved from 131% to 136% in a recent quarter, exclusively on seat-based pricing.

"Obviously today, we're in a pretty much exclusively seat-based model... But so far we haven't seen that in our business. Part of that I think may be just the fact that because of all the things happening in the world and in technology, there's just more and more builders coming into software." — Shaunt Voskanian [00:13:18]

Harry Stebbings frames the nuance well: "I think it's because your business is predicated around product people and designers... If you sell seats and you're replacing labor, you're in a tough spot." [00:14:07]

Figma Is Deliberately Growing Its Sales Headcount, Not Shrinking It Under AI

The prevailing narrative is that AI will shrink sales teams. Figma is going in the opposite direction, adding headcount specifically to do strategic work that is generating measurable results.

"I'm pushing and Dylan is on board with more headcount in sales to do more of the strategic work with customers that we really are seeing great results from. I think we're going to continue investing in sales headcount." — Shaunt Voskanian [00:35:46]

Enterprise Quotas Should Be Low (3-4x OTE), Not High — to Attract Strategic Talent

The standard industry logic is to set quotas high to maximize coverage and efficiency. Shaunt argues the opposite: if the work is genuinely strategic and hard, set aggressive (low) quotas to attract elite talent and reward them properly, which creates a self-reinforcing quality flywheel.

"Our philosophy now at Figma is kind of the opposite, which is we want to have really aggressive, as in like relatively easy quotas compared to what's out there in industry standard because the work is hard and it's strategic... An average enterprise rep here might have 3 to 4x their OTE for a quota and we're happy with that." — Shaunt Voskanian [00:25:36]

3. Companies Identified

Figma Design and collaboration platform; ~$1B ARR. Mentioned as the subject company with a highly efficient, non-traditional sales motion: no CS, no SDRs, majority outbound into existing customer base, 131-136% NRR on seat-based pricing, ~500K customers supported by ~300 quota-carrying reps.

"We're probably pushing 500 in my whole org. That's not just sales quota carriers but if you include some of the supporting resources." — Shaunt Voskanian [00:35:01]

Datadog Cloud monitoring and security platform. Called out as the gold standard sales organization for its ability to retain great people long-term, promote from within, and execute across all segments from SDR to strategic enterprise.

"Datadog. I mean I did work there so I maybe cheated a little bit, but they have been able to keep great people there for years and years and years. They really believe in promoting from within and they're another one of those few companies where they've kind of mastered all the segments — SDR to very, very strategic." — Shaunt Voskanian [00:55:12]

Weavey (acquired by Figma) A company Figma recently acquired; being taken to market via an overlay sales motion, indicating a product expansion into a new persona or workflow area. Worth watching as a signal of Figma's multi-product strategy evolution.

"You may know we acquired a company called Weavey not that long ago and the way we're going to market with that product right now is in a little bit more of like an overlay motion." — Shaunt Voskanian [00:54:02]

Eleven Labs AI voice technology company. Mentioned as an example of a high-growth PLG company with a radically different quota philosophy (20x OTE quota) that suits their market-pull moment — contrasted against Figma's current strategic, outbound-heavy motion.

"They have a 20x quota. Is that a new world of PLG? Is that 11 Labs specific?" — Harry Stebbings [00:22:04]

4. People Identified

Shaunt Voskanian CRO at Figma. Previously at Datadog where he built a ~200-person SDR team. Has been at Figma ~4.5 years, growing it from ~$50-100M ARR toward ~$1B ARR. Notable for first-principles thinking on sales org design, quota philosophy, and performance management.

"I started talking to Dylan five and a half years ago. And at the time, it was really early in the journey... When I joined four and a half years ago, we were a hundred, maybe $50 million company." — Shaunt Voskanian [00:07:16]

Dylan Field (implied — "Dylan") Co-founder and CEO of Figma. Referenced as being aligned with Shaunt's push to grow sales headcount and invest in strategic sales work, and for the original vision of spending 6 years building the product before monetizing.

"I'm pushing and Dylan is on board with more headcount in sales to do more of the strategic work with customers that we really are seeing great results from." — Shaunt Voskanian [00:35:46]

Jason (implied — "Jason," friend of Harry's at Qualified/Momentum) Referenced as a CRO-level operator who is notably advanced in training AI sales agents — framed as someone most sales leaders are not yet keeping pace with. Worth identifying and tracking.

"Jason is so good now at training agents and he assumes that everyone else is. I don't know many sales reps that are that versed in how to train the next generation of sales agents." — Harry Stebbings [00:43:13]

5. Operating Insights

The "Gap Map" Account Planning Framework

Rather than traditional territory planning, Figma's enterprise reps build a vision of what a best-in-class Figma deployment looks like for a given account type, map where the customer actually is, and treat the gap as their sales mandate. This is a replicable framework for any expansion-heavy sales motion.

"The job is you map it out. You map out that org and you basically have a vision of what does the best in class deployment of Figma look like, based on your understanding of this type of business? Where are they today? And that gap between those things is your job." — Shaunt Voskanian [00:20:27]

Front-Load Account Immersion Before Formal Onboarding

Rather than putting new enterprise reps through weeks of classroom training before touching accounts, Figma deliberately throws new hires into 1-2 live accounts in week one — listening on calls, building context — before formal enablement begins. This grounds the training in real-world relevance.

"First thing, kind of throw them into the fire on, you know, you've got one or two accounts and these are accounts that are spending a lot... Let's get you engaged. And let's just get you having, building relationships and learning that business. And then I would say after a couple of weeks... now we want to get them into like a proper onboarding." — Shaunt Voskanian [00:38:11]

Use the Interview Exercise to Test Discovery, Not Demo

For hiring, Figma gives candidates a take-home case study requiring both discovery and a product demo. The demo is kept partly as a perseverance test, but the real signal comes from how they run discovery — a fast, scalable proxy for curiosity, strategic thinking, and sales maturity.

"Personally, I'm much more interested in how they do frankly on the discovery side of that... I do think actually the product piece we've kept in there because it does show an element of perseverance. If someone is actually willing to spend the time to learn a little bit of it, I think it's telling." — Shaunt Voskanian [00:29:57]

Repurpose SDRs for Transactional Renewal Management to Free Strategic AEs

Rather than eliminating SDRs or deploying them in traditional outbound roles, Figma now uses them to handle small transactional renewals — clearing the plate of strategic AEs so they can focus on high-value expansion and new persona development.

"We're using them now in a more pointed way on existing customers and managing small transactional renewals to get those off the plates of some of the more strategic AEs and the strategic work we want them to do." — Shaunt Voskanian [00:16:16]

6. Overlooked Insights

Figma Spent 6 Years Building Product Before Monetizing — This Is the Hidden Source of Their PLG Moat

Mentioned only in passing, this is arguably the most structurally significant insight in the episode. The reason Figma has ~500K customers who self-adopted, created word-of-mouth viral loops, and now represent an untapped expansion universe is because of an unusually long pre-monetization product investment period. Most companies attempt PLG without this foundation and wonder why it doesn't work. The lesson for investors: PLG durability correlates strongly with depth of pre-monetization product development — not just the quality of the freemium hook.

"Figma has been around since 2012 and really spent like six years building the product, studying customers, really trying to perfect it. Really not something that I had heard happen very, very often. And then once we started monetizing, this is like end of 2017, end of 2018, really took off." — Shaunt Voskanian [00:07:16]

AI Implementation Consulting Is About to Be a Massive Business — And Even Figma's CRO Admits He's Not Ready

Buried in a brief exchange about AI sales agents, Shaunt candidly admits Figma doesn't yet have the internal capability to train and deploy agents properly. Harry's offhand comment points to a real and underappreciated opportunity: the bottleneck to enterprise AI adoption is not the technology, it's implementation and change management expertise. For investors, this signals a significant near-term market for specialized AI GTM consulting and implementation firms.

"I don't know that we are. We will need to explore and figure out if we're capable and if not we're going to have to learn how to bring in more resources and knowledge on that subject." — Shaunt Voskanian [00:43:13]

"This is why consulting businesses will do very well in the next few years, my friend. Seriously, implementation and adoption I think will be one of the biggest things that you can learn and improve on as a company." — Harry Stebbings [00:43:25]