Eleven synthetic users · one autonomous pass

Personas

SUSA explores your app as distinct real-user personas, each with different patience, expertise, and intent — catching what a single happy-path script never would.

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The cast

Eleven ways your app gets used.

Real users are messy: they rush, misread, misuse, and probe. Each persona drives SUSA with a different behaviour profile so your app meets the full range before release does.

01

Curious

Wanders off the happy path — taps everything, opens every menu and link to map the whole app and reach states scripts never visit.

02

Impatient

Moves fast, double-taps, skips reading, abandons slow flows — surfacing latency, unresponsive controls, and missing loading feedback.

03

Elderly

Cautious, deliberate taps with larger-target expectations — exposing tiny touch targets, cramped layouts, and confusing navigation.

04

Adversarial

Deliberately misuses the app — back-button abuse, invalid input, rapid repeats — to force crashes, ANRs, and broken states.

05

Novice

A first-time user with no prior knowledge — testing whether onboarding is clear and the app explains itself without a manual.

06

Student

Distracted and multitasking — interrupts flows, switches context mid-task, and tests how well the app recovers state.

07

Teenager

Fast and fearless — rapid-fire interactions and trend-driven behaviour that stress social, sharing, and high-frequency features.

08

Business

A goal-oriented professional — runs core flows efficiently and expects reliability and speed under real time pressure.

09

Accessibility

Relies on labels, contrast, and screen-reader semantics — flagging WCAG gaps, unlabeled controls, and inaccessible interactions.

10

Power user

An expert who pushes advanced features, shortcuts, and edge configurations to their limits — finding where depth breaks down.

11

Security tester

Probes inputs, auth, and permissions for injection, data leakage, and OWASP-class weaknesses a normal user never tries.

one pass Every persona runs the same nine testing disciplines — functional, accessibility, security, penetration, API, performance, visual regression, usability, and LLM observability — in a single autonomous pass.