Always-On Qualitative Signal

Widget Ava

Find out why users struggle
while they're actually struggling.

Most research asks people to reconstruct what happened last week. Widget Ava captures friction the second it occurs. No surveys, no scheduled interviews, no relying on memory.

Widget Ava is the only always-on qualitative tool designed for real decision-making.

She runs continuously, captures real user reasoning in the moment, reducing uncertainty by narrowing the problem space, so teams stop guessing and know where to focus next.

How It Works

1

Triggered by behaviour, not time

Widget Ava appears only after real web signals, such as:

Form submissions

or checkout attempts

Repeated edits

corrections, back-and-forth

Long page dwell

or hesitation

Exit or abandonment

without action

2

Short Flow first (always)

Unlike surveys or interviews, Widget Ava runs continuously without needing to be scheduled, launched, or managed.

Every interaction starts with a fast, five-step flow:

1

Contextual opening

2

Neutral reflection

3

Single friction probe

4

Directional categorisation

5

Close or qualify

Widget AvaShort Flow

Hi, I'm Ava. I help teams learn what's confusing or getting in the way. You were looking at our collagen products. What made you leave?

I couldn't figure out which one I actually need

Got it. So you couldn't see a clear reason to pick one over the others. What's the one thing that would've made this an easy choice?

Just tell me which one is best for anti-aging. They all say the same thing about skin health

That makes sense. So you needed clearer guidance on which product matches your specific goal. What are you planning to do now?

I'm just going to order from [competitor]. They only have two options and one says "for beginners"

So you'd rather buy from somewhere with fewer choices and clearer guidance, even if the product might not be exactly what you need?

Yeah honestly I just want someone to tell me which one to buy

Real conversation

Most conversations end here.

Clean, quick, and out of the way.

The goal is not to find "the answer." It's to surface the themes shaping the user's next decision and rule out the rest.

3

Depth only when earned

If the Short Flow produces a clear, meaningful signal, Ava may offer to go deeper. In setting up Widget Ava you can choose her Long Flow investigation to cover:

Job To Be Done Tracking

Motivation, trade-offs, decision logic

Brand Health Tracking

Clarity, trust, differentiation over time

Depth is rare, opt-in, and tightly structured.

What You Get

Live friction feed

Real user struggles, categorised and backed by verbatim evidence.

Clean data

Structured conversations, not messy transcripts or AI guesswork.

Decision confidence

Instead of debating competing theories, Widget Ava surfaces the factors actually influencing user decisions.

Longitudinal brand signals

Track confidence and trust shifts before they show up in metrics.

A path to deeper research

When something truly matters, Ava invites proper investigation.

A replacement for expensive brand health tracking

An ever evolving assessment of what real users think about your brand.

What Widget Ava Answers

The questions teams usually argue about:

Why did they not complete this?

Why does this page feel confusing?

Why are users hesitating at this point?

Why are we losing trust, even though metrics look fine?

Which of our assumptions is actually wrong?

Widget Ava shows you where to look, not what to think.

Who Uses It

Marketing, growth, and CRO teams

UX and CX teams

Customer research and insights teams

Agencies running continuous optimisation programs

If you care about why, not just what, this fits.

Pricing

Widget Ava
$250AUD / month

Includes:

  • Always-on qualitative signal
  • In-context web deployment
  • Behaviour-based triggers
  • Short Flow signal capture
  • Qualified Long Flow (JTBD or Brand Health)
  • Structured dashboards

No per-response pricing.

No usage caps.

Insight at the moment it matters

Widget Ava is always-on qualitative insight without the overhead of always-on research.