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Cisco · Duo Security

Early Access
Portal

A self-service early-access portal where customers turn on beta features and share feedback on their own — designed in code with AI and shipped to customer beta in about a month.

Role
Sole Designer
Timeline
1–2 mo, design → prod
Status
Q4 '26 beta v1
Overview

A self-service loop, not a recruitment cycle

Customers turn on beta features themselves and send feedback right from the product, instead of waiting for a product manager to recruit them one by one.

Customer
turns on features →
Beta portal
← routed feedback
Product
team
No one brokers the loop anymore. Signal flows both ways, at scale.
The Problem

Manual outreach was the bottleneck

The old feedback model ran entirely on outreach, with a person in the middle of every loop. Alpha and beta were where the work stalled.

Idea
Day 1
Research
Weeks–months
Design
Weeks
Build
Weeks
Alpha & iterate
Weeks
Beta, iterate, GA
Weeks
PainReality
RecruitmentProduct managers spent days to weeks per program finding customers
Response rateManual outreach landed under 1%
DependencyEvery conversation brokered through customer success
RepetitionThe whole cycle restarted at alpha → beta → GA
The Shift

Opt in, no one in the middle

A portal where customers opt into early access and send structured feedback themselves — no recruitment, no one brokering the middle.

For customers

Opt into early access and shape the product on their own terms, instead of waiting to be found.

Internally

Feedback comes back tagged and routed, so product managers reclaim the weeks lost to recruitment and synthesis.

Value runs both directions — customers engage on their own terms, the team gets signal at scale.
Role & Team

Sole designer, four-person core team

Covering research framing, the end-state vision, every iteration, and the build that shipped to engineering. No separate design team, and deliberately no Figma stage.

4
Core team: design, product management, and two engineers
4+
Stakeholders — product, engineering, design, and leadership — in weekly review
0
Figma files — every iteration designed directly in code
Weekly cadence
  • Mon standup · Wed office hours
  • Fri — 4+ stakeholders review a live build
Why it mattered

The artifact under review was the implementation, so feasibility and scope got resolved in one conversation instead of across three.

Collaboration

Trust built on a live build, not a deck

Every Friday, product, engineering, and leadership reviewed the same working software — not a mockup, not a spec. That changed how the team worked together.

One conversation, not three

Feasibility, design intent, and scope got resolved live in the room, instead of bouncing across separate design review, eng scoping, and PM alignment meetings.

Shared reality over assumptions

Everyone reacted to the same real thing each week, instead of carrying their own mental model of what "the feature" was supposed to be.

Faster trust, faster yes

Leadership could see progress firsthand every week, which made it easier to greenlight scope changes without a lengthy re-pitch.

The build itself became the shared source of truth for product, engineering, and leadership alike.
Design Process

Not a blank page — a handoff to build on

It began with a starting direction from product, taken much further before the first real build.

Starting point
  • Rough PRD
  • Initial competitive research
  • Lovable mockup
Taken further
  • Reviewed the existing research
  • Far wider competitive teardown
  • Grounded the vision into the product
From there, the direction was rebuilt inside the actual product — the real Duo admin shell, its navigation, and existing components.
Research

Competitive teardown

A wider teardown of how Linear, Vercel, Notion, Stripe, and Slack each handle beta — down to the design-system details.

  • Surfacing — where beta features live in the UI
  • Enrollment — how users opt into early access
  • Feedback — how input gets routed back
  • Design system — badges, toggles, density
Competitive teardown board comparing Linear, Vercel, Notion, Stripe, and Slack
00  Iteration

The vision, grounded in the product

The PM's Lovable concept rebuilt inside the real Duo admin shell, as an Early Access settings page. A grounded starting point, before real content structure or a feedback loop.

Iteration 00 — the vision grounded in the real Duo admin shell
  • Rebuilt the PM's Lovable concept inside the real Duo admin shell and its existing components
  • Framed early access as a settings page rather than a standalone surface
  • A grounded starting point, with no real content structure or feedback loop yet
01  Iteration

First design pass

The first build designed in code. Page inside the admin panel, feature-list structure, status, enable/disable, and a feedback prompt.

Iteration 01 — first design pass inside the admin panel
  • First build designed entirely in code, living inside the admin panel
  • Introduced a feature-list structure with per-feature status and an enable/disable toggle
  • Added a feedback prompt to start closing the loop with customers
02  Iteration

Closest to the end state

Explored where early access lives: dedicated homepage vs. top-nav entry. A content pass tightened feature names and descriptions.

Iteration 02 — early access promoted to a top-nav entry
  • Promoted early access to a top-nav entry instead of burying it in settings
  • Tightened feature names and descriptions in a dedicated content pass
  • The structure that came closest to the shipping end state
From a North Star to a Spec

Design the end state, then cut scope

The PRD was a North Star: direction, with almost no requirements. Instead of waiting for it to fill in, I designed the end state in code, then cut scope down to the V1 worth shipping first.

Earlier attemptThis time
Build toward the full automated visionStart with the simplest possible version
Scope kept expandingIterate weekly, nothing gets scrapped
Never shippedEvery V1 decision made with the end state in mind
What V1 had to prove: a Beta Programs page, a short feature list, status with a per-feature toggle, and a feedback prompt on opt-out. One question — if we give customers a page to enroll themselves, will they use it?
V1  In development

The build that shipped

Feedback intake, routing, and the early-access surface consolidated into what customers actually touch. Handed to engineering, now entering customer beta.

V1 — the build handed to engineering, entering customer beta
  • Consolidated the early-access surface into the page customers will actually touch
  • Built feedback intake that tags and routes input to the right teams
  • The build handed to engineering, now entering customer beta
Results

Live in customer beta

V1 went into customer beta and is actively in review, gathering more feedback as customers use it.

~1 mo
Design to customer beta — record time for a project of this scale
5
Features shipping to customers, rolled out on a percentage basis
0
Middlemen — no manual recruitment or customer-success coordination
1.5 weeks in
7
enrollments
  • 148 unique visitors
  • 231 total visits
  • 21 engaged with a feature
1 month in
81
enrollments
  • 39 customers enrolled
  • 40% of customers rolled out
  • 4 of 5 features at double-digit adoption
AI Learnings

How designing in code with AI changed the workflow

The biggest shift wasn't a feature — it was the loop the whole team worked in.

Hours, not weeks

Each iteration went from idea to a working, clickable build in hours instead of weeks — design stayed ahead of the project instead of trailing it.

Reviews changed shape

Weekly reviews shifted from critiquing mockups to critiquing working software — feasibility questions got answered on the spot, not punted to a follow-up.

The tradeoff

Less upfront spec meant more in-flight scope negotiation — the PRD got written against something real, but it was written later, not first.

What we'd tell another team: don't wait for the spec to stabilize — build the end state, cut it down to a V1, and let the working software carry the argument.
Reflections

Design led the project

The real shift was the process. Designing in code with AI turned ideas into working screens in hours instead of weeks, so design ran ahead of the project instead of trailing it.

  • Design led the project — there was always something real to react to, instead of waiting on a spec.
  • The build kept everyone aligned — product, engineering, and customer success worked off the same real thing instead of their own assumptions.
  • Requirements emerged by reacting — each demo sharpened the PRD against something real, not an abstract doc.
Cisco / Duo Security · 2026