Your customers know
what they need.
Your systems make them translate.
When self-service, support, docs, AI, and escalation don't align with customer intent, the result is repeat contacts, missed adoption, eroded trust, and support teams absorbing friction that should have been resolved upstream.
I run Intent Gap Diagnostics for B2B SaaS companies — mapping exactly where the system diverges from what customers are actually trying to do.
Better self-service moves
the system closer to intent.
Every diagnostic I run measures one thing: the distance between what your customer is trying to do and what your system actually gives them at that moment.
That means the right answer, next step, academy path, escalation route, product signal, or feedback loop appears before the customer has to translate their need into your internal process.
See how the method works →
Customers experience
your systems, not your org chart
Customers repeat context. They get different answers in different places. They lose trust in AI because the underlying content is unreliable.
That is not a support problem.
It is an architecture problem. And it compounds.
Every unconnected surface adds a small tax — a re-login, a repeated explanation, a dead-end search. Individually they’re papercuts. Together they’re the reason customers stop trusting self-service and start emailing your team directly.
And because the system doesn’t learn from the friction it creates, the same problems repeat across every new customer.
Often this takes the form of Shadow CX — the hidden spreadsheets, tribal knowledge, and one-off automations that keep the experience running until they don't. An Intent Gap Diagnostic surfaces where Shadow CX is doing the real work of your customer-facing systems.
Closing the gap
between intent and system.
These outcomes came from treating support, knowledge, community, education, AI, Salesforce, and customer signals as one post-sales operating system: built to help customers adopt faster, get unstuck earlier, and stay engaged longer.
226%
more problems resolved before the customer had to ask — by moving mitigation paths upstream through predictive signals, inline guidance, and community-based routing
$192K
saved by closing the gap between customer intent and system response — validated by Finance, through digital support improvements that reduced avoidable demand and helped customers get unstuck earlier
4.96% → 8.8%
community resolution nearly doubled after aligning self-service to actual customer paths — rebuilding a transactional portal into a self-service, routing, and customer signal system
78%
more customers finding help through aligned self-service paths — after improving routing, content visibility, and customer-facing paths for support, learning, and self-service
10%
fewer tickets and 25% fewer repeat questions after closing the intent gap across support channels — unifying Zendesk, Discord, and Discourse into an intent-based help architecture
Your Path:
Low-Risk Entry to
Full Flywheel.
Fractional focus: I cap at 2–3 clients. 10–15 hours/week per gig. Async heavy. Pause anytime. Diagnostics credit to OS.
Intent Gap Diagnostic
$1,500 flat
Steps 1–3 compressed into five business days. You get an intent gap map, a routing diagnosis, and a prioritized fix list across support, knowledge, AI, self-service, escalation, and feedback.
This is the right starting point if you know the experience is breaking but need a clear map of where, why, and what to fix first.
↩︎ Fully credited toward a Fractional engagement if we continue.
Book the Intent Gap Diagnostic →Fractional Post-Sales Architect
$9,500 / mo
All five steps, run continuously. I own the system layer between your customers and your org chart — so support, knowledge, AI, education, and escalation work as one governed experience.
Built for companies that need senior ownership of the systems behind adoption, mitigation, escalation, customer signal loops, and retention before they’re ready to hire that function full-time.
3-mo min · Rolling monthly · 30-day cancel · Limited to 2 partners
Explore the Fractional Engagement →
The bits
and the Bee.
NahamSec × Bee, Bugcrowd live hacking, Vegas
I'm a technical operator, systems architect, and builder focused on the infrastructure behind customer adoption, support, and retention.
My work sits between support, success, product, community, knowledge, education, data, and AI. I help B2B SaaS teams turn fragmented post-sales operations into Customer Experience Intelligence systems that customers and internal teams can trust.
Most customer struggle is not user error.
It is system failure. When customers cannot find the right answer, when support cannot see the right context, when AI gives inconsistent responses, when escalation depends on tribal knowledge, when adoption paths are unclear, or when feedback never reaches the product team — it is rarely one person or one tool. It is the architecture.
The product
behind
the product.
Every diagnostic surfaces what to fix first. Here is what I build to close the gap:
Knowledge systems
That help customers learn, adopt, and recover without waiting for support.
Support automation
That reduces mean time to mitigate and avoidable escalation.
Customer signal architecture
That makes context usable across support, success, product, and AI.
Escalation paths
That preserve context and trust when customers need expert help.
Frequently Asked Questions
Is this support operations, customer experience, business systems, or retention? +
Yes. I work across support operations, knowledge architecture, community, education, self-service, AI, business systems, and customer signal loops because customers experience those as one path, not separate departments. The downstream outcomes are adoption, retention, trust, and support scale.
Do you only advise, or do you also own execution? +
I own execution. The advisory work is useful because it identifies where the system breaks, but the larger value is building the roadmap, governance, workflows, routing, automation, and measurement model needed to fix it.
Is the diagnostic useful if we don't continue? +
Yes. That's why it's a flat $1,500 and only credits forward if you choose to continue. The deliverable stands on its own.
How is this different from a UX audit? +
A UX audit usually focuses on interface and usability. My work looks at the full post-sales system: support flows, knowledge architecture, community, education, routing, self-service, AI surfaces, escalation, feedback loops, and the operational seams between them. The issue is often not one screen. It’s that the experience strategy and the systems behind it are owned separately, so the customer journey breaks across the boundary.
Can I just hire you full-time? +
Possibly. The fractional model exists for companies that need this function before they're ready to scope or hire it as a full-time role. That role may look like Customer Experience Intelligence, post-sales systems, digital support, support automation, or customer experience infrastructure, depending on the company.
// Let's build it
Tell me where
the experience
breaks
If your post-sales experience depends on hidden workarounds, disconnected tools, or heroic internal effort, it is time to engineer the system behind adoption, mitigation, escalation, feedback, and retention.