AR/VR companies routinely build remarkable technology that stalls at the activation step – not because the product is wrong, but because the product team has never owned the question of how buyers move from interest to installed and active. Winston Francois embeds a growth product manager who owns the bridge between acquisition and activation, building in-product flows that account for hardware onboarding, enterprise IT constraints, and the specific friction points that kill conversion in immersive technology. The output is a product-led growth layer that works in the real constraints of your market.
The Problem
Product teams own the experience but not the conversion gap between marketing and activation
In most AR/VR companies, marketing owns everything up to the demo request, sales owns the demo, and the product team owns what happens after the contract is signed. Nobody owns the gap between 'we sent the onboarding email' and 'the customer has a working headset deployment.' That gap is where most deals die silently – not because the buyer changed their mind, but because the hardware setup, IT approval, and initial content configuration proved harder than expected.
In-headset onboarding is designed by engineers, not by growth operators
The first time a buyer's team puts on a headset and opens your application, the experience is almost always designed by an engineer who cares deeply about the technical correctness of the flow and not at all about the activation psychology. Steps that feel obvious to the team that built the product are confusing to a new user who has never used a headset before. AR/VR products have a uniquely steep initial learning curve because the interface metaphors are unfamiliar, and that curve needs to be actively managed in the onboarding design.
Enterprise expansion revenue is left on the table without a product-led expansion motion
The natural growth model for enterprise AR/VR is pilot-to-fleet expansion: land a department, prove ROI, expand to the organization. But most AR/VR product teams have no deliberate expansion mechanics – no in-product signals that trigger upsell conversations, no usage data shared back to the account team, no friction reduction for fleet-level deployment after pilot success. The product does the work of proving ROI and then does nothing to accelerate the expansion decision. That gap adds months to the expansion cycle and costs revenue every quarter.
Product and marketing teams operate without shared activation metrics
Marketing measures lead volume and conversion to demo. Product measures feature adoption and session length. Neither team measures what actually determines whether a deployment succeeds: time-to-first-value inside the headset, number of trained users per headset deployed, and manager-level visibility into team usage. When product and marketing are measuring different things, they make decisions that are locally rational but collectively broken. Marketing drives volume that overwhelms onboarding capacity; product builds features that users cannot reach because the onboarding is failing.
How We Help
We begin by mapping the full journey from first marketing touch through active deployment – not just the product onboarding steps, but the entire sequence including the hardware acquisition decision, IT approval, device configuration, and first team training session. In AR/VR, these pre-product steps are often longer and more consequential than the in-product onboarding itself.
From the journey map, we define the activation metric – the specific moment when a new user has crossed the threshold from 'installed' to 'getting value.' In AR/VR, that moment is rarely 'account created' or 'first login.' It is more often 'first training session completed by a non-admin user' or 'first AR overlay used in a real production environment.' Until you define and measure the real activation moment, you are optimizing for proxy metrics that do not predict retention.
With the activation metric defined, we build the product roadmap items that move users to that moment faster. This is where growth product management diverges from standard product management. We are not building features that expand the product's capability – we are building flows that reduce the distance between a new account and a successfully activated deployment.
For companies with a pilot-to-fleet expansion model, we build the in-product signals and account team integrations that accelerate expansion. When a pilot deployment crosses a usage threshold, the account team should know immediately and have a templated expansion conversation ready. When a pilot user invites colleagues into a session, that action should trigger a CRM update and a follow-on sequence.
We also own the product-marketing alignment layer. Growth product management is only effective if the funnel that feeds product is sending the right buyers at the right stage of readiness. We work with your marketing team to define what a qualified pilot candidate looks like from a product perspective – what use case, what team size, what existing infrastructure – and ensure that the marketing funnel is pre-qualifying against those criteria.
Measurement runs through everything. We define the metrics that connect product behavior to revenue outcomes: activation rate by cohort, time-to-activation by onboarding path, expansion trigger rate, and pilot-to-fleet conversion rate. We report on these weekly with your product and revenue leaders and tie product roadmap decisions to their impact on these metrics. Every sprint closes with a clear view of whether the product work we did moved the numbers we said it would.
What we deliver
- Full buyer journey map – documented path from first touch through active fleet deployment, with drop-off points identified
- Activation metric definition – the specific in-product moment that predicts retention, with instrumentation plan
- Growth roadmap items – a prioritized list of product changes that reduce time-to-activation and accelerate pilot-to-fleet expansion
- In-product expansion signals – CRM integrations and usage triggers that surface expansion-ready accounts to the account team
- Product-marketing alignment framework – shared definitions of qualified pipeline and readiness criteria that connect marketing targeting to product outcomes
AR/VR companies almost always define activation as 'first login.' The real activation moment – the one that predicts whether a deployment succeeds – is weeks later and requires a non-admin user to have completed a real work task inside the headset. Until you measure the right moment, you are building onboarding for the wrong outcome.
Our Methodology
The first 30 days are diagnostic and definition. We map the buyer journey, define the activation metric, and audit the current onboarding flow against the drop-off data. We also conduct at least three interviews with recent customers who completed successful deployments to understand what made their activation succeed. That qualitative data is more valuable than the quantitative funnel data at this stage – you need to understand the pattern before you can measure it at scale.
Days 31-60 are roadmap execution. We build the highest-leverage onboarding changes: typically the headset setup flow, the first-session experience, and the manager dashboard that lets non-headset users see deployment progress. These are the changes that most consistently move time-to-activation in enterprise AR/VR. We also stand up the expansion signal instrumentation in this phase.
Days 61-90 are measurement and iteration. We have data from the first cohort of users who went through the improved onboarding. We use that data to prioritize the second wave of changes, focusing on the steps where the new flow still loses users. By day 90, you have a documented growth PM playbook, a defined activation metric with historical baseline, and a roadmap that your internal product team can execute independently. Engagements typically continue for 3-6 months because the pilot-to-fleet expansion cycle requires time to observe and optimize.
How We Work
The engagement starts with two weeks of discovery: buyer journey mapping, onboarding audit, and customer interviews. You provide access to your product analytics, your CRM, and your customer success team for interview coordination. We do not need a dedicated engineering team in the first two weeks – discovery is research and analysis, not build work.
Weeks 3-8 are the first build cycle. We work with your engineering team in your existing sprint cadence to build the roadmap items we identified. We write the specs, run the design reviews, and own the growth PM role in your sprint planning. Weekly syncs cover what is in progress, what shipped, and what the early data shows. We are explicit about our estimates – we tell you when a change is likely to move activation rate by a meaningful amount and when we are running an experiment to find out.
Weeks 9-12 are measurement and handoff. We have data from the first build cycle, run the second wave of changes, and document everything for your internal team. Typical engagements run 4-6 months because the expansion cycle in enterprise AR/VR requires multiple pilot cohorts to observe and optimize.
- CAC reduction
- Pipeline acceleration
- Reduction in time-to-activation from first login to first successful deployment
- Pilot-to-fleet expansion rate improvement
- Increase in qualified expansion signals surfaced to account team
If your ar / vr / metaverse company needs growth product management leadership, we should talk.
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Frequently asked questions
How much does a growth product management engagement cost for AR / VR / Metaverse companies?
Monthly retainers run $10,000-$25,000 depending on the scope of product work and the complexity of your enterprise buyer journey. A defined 90-day sprint covering activation metric definition, onboarding rebuild, and expansion signal instrumentation runs $25,000-$60,000.
How long before we see results from growth product management work?
The first 30 days are discovery and definition – no product changes ship in this period, so you should not expect to see metric movement yet. The first onboarding changes typically ship in weeks 4-8, and the first cohort data from improved onboarding shows up 2-4 weeks after that depending on your deployment timeline.
How does the growth product management team integrate with our existing staff?
We embed in your product team's sprint cadence. We attend sprint planning, backlog grooming, and design reviews.
What makes Winston Francois different from a traditional growth product management agency?
Most agencies that offer growth product services approach it as UX optimization for digital products – A/B testing button colors and copy. Growth product management in AR/VR requires understanding the hardware onboarding journey, the enterprise IT approval process, and the specific friction points that are unique to immersive technology adoption.
How do you measure ROI from a growth product management engagement?
We define three to four metrics at the start of the engagement: time-to-activation (from contract signed to first successful team deployment), pilot-to-fleet expansion rate, and activation rate by onboarding cohort. We baseline these against your historical data in the first 30 days.
What type of AR / VR / Metaverse company is the right fit for growth product management?
The right fit is a Series A or Series B company that has signed its first wave of enterprise pilots and is now trying to improve deployment success rates and accelerate expansion. You need to have a product that is technically functional and have enough deployments in progress to generate cohort data within a reasonable time window – typically 10 or more active pilots or deployments.
