The Revenue Leadership Podcast · 26 Aug 2026 · From the week of 24 August
E73: The AI Enabling 600 Customer-Facing Reps | Lauren Hughes, VP Revenue Effectiveness @ Justworks
These are notes on the conversation, checked against its transcript. The episode itself has the full discussion.
In brief
Kyle Norton interviews Lauren Hughes, Justworks' first VP of Revenue Effectiveness, who runs RevOps and enablement as one function supporting 600+ customer-facing staff across 20 roles. She describes cutting enablement from 16 to 6 people, dropping the LMS and roles such as instructional designer, onboarding coordinator and field enablement, and replacing them with Tangelo, a Claude skills library fed by recorded ride-alongs and onboarding data, and AI-maintained Confluence content. She credits measurement, structured onboarding, hiring-profile changes and removing process friction with cutting new-hire ramp from 18 to 8 months across 300 hires, while bookings per AE grew 28% in a year. After moving the SDR team under her, she inspected the existing stack before buying, added a dialer and pipeline ARR comp, and reports 2x pipeline productivity with four fewer reps. Her central argument is that revenue support functions should be run as data-led systems that remove friction, rather than adding headcount or training activity.
For founders
- Lauren Hughes says Justworks cut new-hire ramp from 18 months to 8 across 300 hires in a year, mainly through structure, measurement, hiring-profile changes and removing process friction rather than more training hours.
- She cut enablement from 16 to 6 and moved the headcount to RevOps and technical builders, eliminating instructional designer, LMS admin, field enablement and a planned onboarding coordinator role.
- Before buying more tools she inspected the existing 70-tool go-to-market stack; Justworks had bought good tools but not adopted them, for example leaving 50% of Gong calls unrecorded.
- Her build-versus-buy stance is that RevOps stands up a short-term internal tool for immediate productivity, giving the product team air cover to build it properly into the product later.
- She will not act on a hypothesis, including her boss's, until she has checked it against the data, and pairs that data with firsthand ride-alongs to find root causes.
For revenue leaders
- Lauren Hughes merged RevOps and enablement and requires enablement staff to be systems thinkers who measure training against revenue results, rather than running high-activity, low-result programs.
- She measures training efficacy as a chain: whether the topic is mentioned on calls, shows up in pipeline, closes, lifts bookings, attach rates and velocity, and whether closed-lost changes.
- Moving SDRs under revenue effectiveness, adding a dialer within four days, migrating the engagement platform, refreshing a three-year-old comp plan with a pipeline ARR component and building a signal system produced 2x pipeline opportunities and 2x pipeline ARR with four fewer reps.
- Justworks builds personas and enablement plans in a shared Claude skills library fed by recorded ride-alongs and Tangelo onboarding results, and that library generates project plans, content and AI role plays with a human reviewer.
- She is replacing a 120-page weekly metrics deck with an AI exception report, built as a CRO skill, that flags deviations to the CRO, and has given her revenue planning and analysis team a list of about 50 KPIs to manage instead of the deck.
What was said 45, most useful first
Lauren Hughes cut Justworks' enablement team from 16 to 6 rather than redeploying it, and moved the saved headcount into RevOps and technical builders. Listen
Enablement had already shrunk from 32 to 16 when roughly 450 people were in customer-facing roles. In her ride-alongs she found all 16 remaining people working on the same thing. She reallocated the headcount mostly to RevOps, hired AI content creators and a builder from JP Morgan Chase, and rebuilt enablement to 10-12 people with more technical, systems-thinking profiles. She reports significantly higher productivity.
“Not one person was working on something unique versus everybody else.”
Justworks eliminated its LMS and LMS admin role, serving learning through Salesforce, Slack and an AI-maintained help center instead. Listen
Onboarding content and measurement live in Tangelo. Just-in-time learning is embedded in Salesforce, and a sales Slack channel answers questions, both driven by a cleaned-up help center and Confluence content. Lauren Hughes said they simply did not need a traditional LMS.
“Yeah, we don't have an LMS anymore. Like, we just didn't need it.”
Lauren Hughes measures training efficacy through a chain of call mentions, pipeline, closes, bookings, closed-lost, velocity and attach rates. Listen
The first leading indicator is whether a trained topic is mentioned on calls, then whether it materialises in pipeline, then whether it closes. If it isn't closing, the team runs further training. She also tracks bookings, closed-lost reasons, velocity, and whether new-product attach helps deals close faster. She said conversational intelligence data is hugely underutilised for this.
“If it is mentioned on calls, is it materializing in the pipeline?”
A sales methodology his team built from clips of its own top reps lifted win rates almost overnight. Listen
In a high-velocity SMB environment, he found off-the-shelf options either too pushy or too enterprise, such as Command of the Message. His team combined elements of methodologies he liked with specific lines and approaches that worked in the field, and trained using call clips of top reps. It took heavy time from the AE, BDR and enablement leaders, managers and reps. He said adoption came because the playbook was built from the reps outward rather than imposed.
“And it wasn't because they were executing the playbook. It was because the playbook was like built on them.”
Justworks' build-versus-buy stance is that RevOps stands up a short-term tool, giving product air cover to build it properly into the product later. Listen
The census tool went from a bought wrapper tool, to an internal build, to a product-team build into the Justworks product, going live after about a year. Internal productivity tools generally stay with RevOps and go-to-market engineering, but some belong in the product, especially for self-service. Lauren Hughes said there was push and pull with product in reaching this approach.
“We've kind of taken the stance that revenue operations will stand up something in the short term to increase immediate productivity on the floor. And we'll buy air cover for our product team to develop that the right way over time”
When she took over the SDR team, Lauren Hughes inspected the existing stack before buying and had a dialer in a POC within four days. Listen
Justworks had bought strong tools but adopted few of them; about 50% of Gong calls went unrecorded. An earlier parallel-dialer pilot fell flat partly because of overlapping features in tools bought but never properly stood up. She got a dialer into a POC within four days and migrated SDRs to a new engagement platform.
“And the first thing I did was inspect the tech stack and figure out what we can turn on for these guys quickly.”
Listen to the episode Pipeline & demand generation Link to this
After moving under revenue effectiveness, Justworks' SDR team doubled pipeline opportunity and pipeline ARR productivity with four fewer people in seat. Listen
SDR was moved under Lauren Hughes about four and a half months before the episode. In the quarter starting in June, she reports 2x productivity on pipeline opportunities by logo count and 2x on pipeline ARR. The four fewer seats came from attrition of SDRs promoted to AE, not intentional cuts.
“we're running at 2x productivity of pipeline opportunities, logo count, 2x productivity of pipeline ARR, and I'm down 4 in seat just from attrition of people moving to AE roles”
This quote could not be matched to the transcript. Treat it as a paraphrase.
Listen to the episode Pipeline & demand generation Link to this
Justworks got a higher SDR comp band approved to test whether technically skilled hires from adjacent industries are more productive. Listen
Justworks had traditionally hired college athletes and recent grads into SDR roles. HR approved a higher band for candidates with a few years in technical-first roles in adjacent industries and more systems thinking. Lauren Hughes describes this as a test that is still running, not a proven result.
“I got additional compensation bands approved for people who have pre-existing technical skills.”
Listen to the episode Sales team, hiring & comp Link to this
First-layer analysis often misdiagnoses problems because it ignores confounders such as channel mix shift. Listen
His example: an apparent conversion problem may come from inbound share falling from 70% to 60% as outbound pipeline grows. He credits a head of BizOps and data early in his time at Owner with controlling for confounding variables. He said dumping data into Claude invites confidently wrong answers.
“have you controlled for mix shift?”
Justworks replaced a 120-page weekly metrics deck with an AI exception report that flags deviations to the CRO. Listen
Only the CRO read the weekly deck covering every cut of every metric. He asked for AI to flag when anything deviates from the norm so leaders can dig in. The team built him a CRO skill. Lauren Hughes has since handed her revenue planning and analysis team a list of about 50 KPIs to manage, and says they still need to improve the report.
“all I need is somebody to put AI on this and tell me when anytime something deviates from the norm”
Revenue leaders over-rely on 'fuel' such as comp and pressure, and under-invest in removing friction. Listen
Citing the book The Human Element, he contrasted incentives, comp and performance plans with removing friction. He referenced the opt-in versus opt-out organ donation example, while saying he was making up the exact numbers. In BDR he points to friction like the effort needed to disqualify a bad lead or chase information across systems.
“but then so infrequently do we look at the friction that we can remove to move somebody towards the objective we want them to”
Justworks cut average new-hire sales ramp from 18 months to 8, and Lauren Hughes sees a clear path to under 6. Listen
Justworks sells a compliance-heavy PEO (HR, health insurance) product, often to reps hired from outside HR and insurance. The improvement came over one year in which 300 revenue-facing team members went through the program. Ramp is measured as time to the average attainment of the new hire's cohort.
“When I first joined Justworks, our average time to ramp for a new sales hire was 18 months. ... We've gotten it down to eight months and we have a pretty clear path to get it under six.”
Listen to the episode Sales team, hiring & comp Link to this
Bookings per AE at Justworks grew 28% in the last year and 44% over two years. Listen
Lauren Hughes attributes much of the gain to productivity improvements and reduced friction in the go-to-market operating system, and a share of it to the new hire program her team stood up. Justworks has 600+ customer-facing team members.
“on average last year, our entire AE population has grown in terms of bookings by 28%. Over the last two years has been 44%.”
Cutting ramp time materially changes a company's economics and is often underestimated as a spreadsheet lever. Listen
Responding to Justworks' 18-to-8-month ramp reduction, Kyle Norton said people often underestimate what shortening ramp does to the model. He framed it as a business-economics change rather than only an enablement metric.
“the economics of a business change pretty materially”
Justworks never filled a planned onboarding coordinator role because AI now handles new-hire scheduling, knowledge checks and manager alerts. Listen
Using Tangelo, which is tied to the role assigned in Workday, all scheduling for a new hire's three to five weeks of onboarding is generated automatically. Weekly knowledge-check tests run through AI, and managers get automatic alerts on progress. The early alert system creates a forcing function for a serious conversation with the manager about whether a hire will make it.
“all of your scheduling for your first, whether it's three to five weeks in onboarding is done now straight up through AI.”
Maintaining content is not enablement's job, and moved Confluence upkeep to product, PMM and customer education with AI staleness alerts. Listen
Previously only revenue enablement updated Confluence, which she said required 32 people. Product, product marketing and customer education now update content directly. AI measures how recently content was updated, alerts owners when it goes stale and suggests refreshes.
“We needed 32 people to keep Confluence updated.”
Listen to the episode Retention & customer success Link to this
Lauren Hughes dropped the instructional designer role because classroom-style training was not landing with remote reps, and moved to bite-sized learning. Listen
She said instructional designers spent time turning launches into classroom experiences, but people now learn from LinkedIn, podcasts and peers, and reps on Zoom training often do not pay attention. Justworks shifted to learning reps can consume on the go that connects to what is happening in the market.
“So we really needed to move towards like bite-sized learning.”
Listen to the episode Retention & customer success Link to this
Lauren Hughes judged field enablement unscalable for 20 roles and replaced it with AI-personalised learning. Listen
With 600 customer-facing staff across 20 unique roles, she said Justworks could not staff field enablement for every specialist role. A product launch now goes through an AI enablement planning system built in ChatGPT and Claude that uses ride-along-based role profiles to tailor what SDRs, AEs, onboarding, success and support each need.
“You can't have 20 field enablement people running around to these like specialist roles.”
Listen to the episode Sales team, hiring & comp Link to this
Justworks stopped pulling reps into training they would not use for months, such as hour-long country launch sessions. Listen
Lauren Hughes found reps were taken off the floor for over an hour of country launch training when they might not sell that country for six to twelve months, and they did not retain it. She cited this as part of a serious enablement problem that pushed her toward personalised, just-in-time learning.
“we were pulling people out of the field to give them training for stuff that they didn't need to be trained on at that given point in time.”
Listen to the episode Sales team, hiring & comp Link to this
Lauren Hughes finds early-stage go-to-market vendors willing to co-create product, and Justworks turned one purchase into a custom AI role-play build. Listen
She said founders of go-to-market tools, facing overlapping features and consolidation, want buyers who will help prove viability and shape the roadmap. Justworks was an early adopter of Tangelo, a small company. What it bought as an integration tool ended up as AI role play built together with the vendor. Kyle Norton said he partners with earlier-stage companies for the same reason, looking for alignment of philosophy.
“a lot of the people that are building these tools want to co-create with you and really want to kind of roll up their sleeves and work with you”
Justworks built rep and customer personas by feeding recorded ride-alongs into AI, failing twice before getting usable results in Claude. Listen
Ride-alongs were recorded with Granola, and the notes were used to generate personas of Justworks reps and of the prospects, partners and customers they serve. A first attempt in ChatGPT by a less technical team member produced 'slop'. After adopting Claude Code around February, the team iterated in Claude, then went back to the original ride-along participants to check whether each persona was accurate.
“we tested and it failed, we tested again and it failed and then like third time's a charm example.”
AI output disappoints mainly because teams don't iterate it up to a usable quality bar. Listen
He said people put a lot of material into a model, accept a repetitive, overlong first output, and field leaders then start ignoring AI-produced artifacts. He said repeatedly rejecting output until it is good enough to build on is 'so much of the magic'.
“running it to ground with that level of of like rigor is so much of the magic.”
Justworks' shared Claude skills library generates enablement project plans, input requests and training content, with a human reviewing the output. Listen
The whole company has Claude. Revenue effectiveness centrally manages the enablement skills, which hold the personas and connect to Tangelo onboarding results. For a launch, a skill produces the project plan a human used to write, lists what is needed from product, PMM and marketing, and generates PPTs, podcast-style recordings, Synthesia videos and AI role plays. Enablement staff, now called revenue readiness professionals, review outputs, and results are fed back to update the skills.
“Yeah, so the skills produce the project plan, which a human used to produce”
Making AI-generated enablement work at Justworks required PMM-agreed launch playbooks segmented by launch type and audience. Listen
Alongside personas and accurate Confluence content, Justworks worked with PMM to define how launches activate for prospects, partners and customers. The model is told whether a launch is internal or external, who it targets, and whether it is a product expansion, a feature expansion or something new, because each is treated differently.
“we had to partner really closely with our PMM team to develop these playbooks.”
With six enablement people, Justworks gives managers a 'meeting kit in a box' to run training themselves. Listen
Because the small team cannot attend every team meeting, it packages training kits for managers to deliver. It validated the format by asking the persona groups whether the kits worked for their teams.
“if we gave you a meeting kit in a box to be able to go and enable your team on whatever the topic is, does this work for you?”
Listen to the episode Sales team, hiring & comp Link to this
Lauren Hughes calls merging revenue enablement into RevOps and requiring enablement staff to be systems thinkers 'the true unlock'. Listen
She said most companies run enablement and RevOps as separate teams that don't talk. Coming from RevOps, she required enablement to understand go-to-market technology, look outside the company, and partner on measuring training efficacy. She described the old model as 'high activity, low results'; the team now starts from the results it needs and works back to the training.
“revenue enablement, the new hat you need to wear is you need to be a systems thinker.”
Enterprise sales methodologies have not fit Justworks' SMB motion, and none it has tried has been fully adopted. Listen
Justworks serves small business founders, sometimes one-person companies running payroll for the first time, where multi-threading barely exists. She said methodologies fall flat without leadership reinforcement. Justworks is revising its methodology under a new sales leader and expects to improve it over time.
“there's not a lot of multi-threading when you're talking to a founder who is one employee”
Kyle Norton enforces methodology vocabulary down to Salesforce field names because shared language reinforces behaviour. Listen
His restaurant-focused team had called quick ROI math 'napkin math'. The new methodology renamed it 'impact math' to fit the framework's acronym, and he corrected anyone who used the old term until the team policed it themselves. He wove the methodology into onboarding and deal assessment as well.
“the shared language of a team matters a lot.”
Measuring onboarding lets Justworks shorten programs where hires are ready early and diagnose the ones who fail. Listen
Justworks measures onboarding with quizzes, checkpoints, AI role plays and attendance. If SDRs are ready to dial by week three, Lauren Hughes asks why they are held to week four. If 2 of 12 AEs fail, the team checks for patterns such as no industry background or a first sales job, then adjusts the program or works with the manager on extra coaching.
“Why are we holding them in training to week four? Let's just let them go at week three.”
Listen to the episode Sales team, hiring & comp Link to this
Justworks can tell from a new hire's first couple of days of onboarding whether they will make it. Listen
Signals include attendance and how hires show up on Zoom onboarding. Keeping cameras on is a mandated requirement at Justworks. These signals sit alongside quiz, checkpoint and AI role-play results.
“But yeah, we can tell somebody is not going to make it just based on how they show up first couple of days.”
Listen to the episode Sales team, hiring & comp Link to this
Justworks' best AEs and managers come from its own SDR team, so it invested in SDR hiring and a faster AE readiness program. Listen
Lauren Hughes said this has been proven repeatedly at Justworks. The company invested in a better AE readiness program to move SDRs through faster. Within about four months of taking over SDR, six SDRs were promoted to AE, two moved to partnership acquisition, one became a manager and one joined revenue effectiveness.
“the best reps are from the SDR organization.”
Listen to the episode Sales team, hiring & comp Link to this
Justworks profiled hires and found prior PEO experience mostly speeds ramp, and some adjacent backgrounds such as rental car sales sometimes work well. Listen
The team compared ramp for hires from competitors or prior PEO roles with hires from SaaS or other businesses. Lauren Hughes said prior PEO hires ramped faster 'for the most part', and that people from adjacent businesses like rental car sales 'sometimes' work well. She thinks the profiling also helped ramp time.
“people who've worked in sales at like rental car companies sometimes work really well.”
Automating the health insurance census with intelligent document processing removed a major manual task from Justworks reps. Listen
To quote health insurance, reps had to reconcile employee data in Excel, where for example 'Nick' versus legal name 'Nicholas' would break the quote. Many reps lacked Excel skills such as lookups. Lauren Hughes credits removing this friction as a significant contributor alongside the onboarding changes.
“just introducing intelligent document processing so that AI does that for them instead of them having to do that themselves in Excel.”
On a ride-along, a Justworks SDR spent 30 minutes prospecting one contact across disjointed systems, and the lead declined. Listen
The SDR cross-checked a former customer who had become CFO elsewhere in LinkedIn, Salesforce and 6sense, then hand-wrote a congratulations note. The prospect replied 'no thank you' almost immediately. Lauren Hughes said this was her 'aha' moment, and she began building a signal system to tell SDRs when to reach out and what to say.
“I spent 30 minutes prospecting one contact.”
Listen to the episode Pipeline & demand generation Link to this
The SDR turnaround came from many changes together rather than one lever, with the dialer a huge productivity unlock. Listen
The dialer drove a quick rise in qualified pipeline through volume, seen in a couple-week trial. Other changes were rolling SDR into Claude Enterprise, custom list-building training, and refreshing comp and job descriptions that hadn't changed in three years. She said the team mainly needed focus, someone who understood their daily friction, and a system built for them.
“I wish I could say some, like, big aha thing, but it was really just this team needed focus.”
Listen to the episode Pipeline & demand generation Link to this
Justworks added a pipeline ARR component to SDR comp, which had been based only on qualified-opportunity logo count. Listen
Justworks targets small businesses early, many of which stay over seven years, but also wants to move upmarket and take business from competitors. Lauren Hughes said the ARR component balances logo acquisition with pipeline value. She said the team has blown those targets out of the park quarter to date, and reps are earning again.
“So I added the pipeline ARR component. So they were just strictly on logo count of qualified pipeline opportunities.”
Listen to the episode Sales team, hiring & comp Link to this
24 of Justworks' 54 President's Club qualifiers came from the sales development organization. Listen
The 54 qualifiers spanned sales, partnerships, customer success and support. Lauren Hughes uses the result to show SDRs the career path available if they follow the playbook. Kyle Norton added that SDR is a momentum game in which visible promotions attract talent and effort.
“we have 54 qualifiers across sales partnerships, customer success and support and 24 of them came from the sales development organization”
Listen to the episode Sales team, hiring & comp Link to this
Lauren Hughes will not commit to a hypothesis, even her boss's, until she has validated it with data. Listen
When her boss proposed something, she said she would first check whether the hypothesis held and then use the data to find the best way to do it. She warns against experienced operators reflexively declaring problems, such as calling something a lead-scoring problem without checking. She pairs firsthand context from the people doing the work with the data story.
“I'm not gonna say yes until I go and I look at the data”
At Justworks, teams outside revenue effectiveness may not publish go-to-market analytics without routing them through Lauren Hughes. Listen
With data now easy for FP&A, IT or HR to access, she worries that conclusions drawn without go-to-market context could be damaging. Her boss set the rule because they do not trust that the context exists in other departments. She would like tools that give everyone the right context.
“nobody can produce any sort of statement about go-to-market analytics without running it through me first if you're outside of my team”
Kyle Norton predicts 'data harness' tooling, which makes AI analysis reliably correct, will soon become a bigger topic. Listen
He said leaders increasingly present Claude analyses that data science teams then find wrong. He named Vasco as the most interesting tool he has seen for getting correct answers, citing the effort needed to get the right context into the model and stop it answering when it doesn't know. He built a CRO daily in it.
“that's a space that that is going to be more and more of a topic of conversation pretty soon, which is like data harness.”
Lauren Hughes builds credibility with revenue leadership through a revenue effectiveness dashboard with OKRs tied directly to business outcomes. Listen
She says the mark of a world-class RevOps or enablement leader is that the CRO trusts them to make decisions in the room when he is absent. That trust comes from data and from delivering results tied to outcomes. Her most common advice to first-time leaders in the role is to do ride-alongs across every customer-facing function.
“I worked really hard to put up a revenue effectiveness dashboard for my team this year with very clear OKRs that are directly tied to our outcomes.”
Lauren Hughes' next priorities are a customer 360 analytical layer and customer support automation. Listen
She wants to stitch every customer's touchpoints across marketing, sales, support calls and quarterly success reviews, which currently exist only in pockets. She also plans to bring the same friction-removal focus to post-sales support, where Justworks is an early adopter of an AI tool and has made deflection gains. She noted the AI-native support platform market is moving fast.
“I'm excited about this concept of customer 360.”
Listen to the episode Retention & customer success Link to this
Lauren Hughes spent her first 60 days meeting every go-to-market team member, doing ride-alongs and digging into data before making changes. Listen
She met all 20-25 RevOps and 16 enablement staff individually, rode along with SDRs, AEs, support, success and onboarding to find friction, and analysed the data. A key finding was that Justworks had no revenue planning and analysis function, which she treats as core to data-first go-to-market decisions.
“I sat down with every single person across the go-to-market organization when I started.”
Justworks kept a couple of weeks of classroom onboarding for all revenue hires before role-specific learning paths. Listen
Every revenue hire learns the mission, values, product basics and how Justworks makes money the same way. Lauren Hughes said this also helps managers staffing new teams who are carrying their own book. Hires then move into specialised, measured learning paths by role.
“one thing that we decided to keep from a human-led perspective is in classroom training for onboarding.”
Listen to the episode Sales team, hiring & comp Link to this
At revenue kickoff, Lauren Hughes promised the field three things: more time back, personalised capability and more opportunity. Listen
More time back means more time with prospects, customers and partners. More capability means personalised to each role. More opportunity means pipeline and lead volume, and career growth. She said there is no excuse not to deliver more pipeline given today's tools.
“I promised three things to the field.”