AI-native UX operating system

An AI-native UX function for your product team.

Sightspool connects product data, customer evidence and your codebase to a studio of specialist UX agents. They investigate what is happening, determine what to learn next and turn it into an evidence-backed action plan—bringing in senior human judgment when the stakes demand it.

  • Connected context
  • Specialist agents
  • Clear action
  • Human assurance

30-day Team TrialStarts with your first verified live sourceNo card · no automatic charge

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Illustrative connected workspace

Inspect the evidence-to-action weave

A UX evidence notebook containing interview notes, survey results, support themes and a journey sketch flows into Sightspool's connected context, specialist UX studio, senior human escalation, client decision and measured outcome.

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Illustrative connected workspace — mixed customer evidence becomes a traceable recommendation, with consequential or ambiguous calls escalated to senior human expertise.

The operating loop

From scattered signals to a UX action plan.

Analytics is an input, not the function. Sightspool decides what the team needs to understand, routes the work through the right UX discipline and keeps the action connected to what happens next.

  1. 1

    Connect

    Bring product analytics, commercial context, customer evidence and the product itself into one working context.

  2. 2

    Sense

    Watch the assumptions, behaviours and experience signals that matter—not simply whatever happens to be tracked.

  3. 3

    Investigate

    Route the question through research, interaction or service design, with every conclusion tied back to evidence.

  4. 4

    Act

    Turn the read into a prioritised action, with its owner, downside and intended outcome made explicit.

  5. 5

    Learn

    Return after implementation so the result improves the next decision instead of disappearing into a deck.

One continuous UX function

The team should not need to know which UX discipline to ask for.

A problem may need interviews, a flow critique, better instrumentation, a service-design read—or a clear decision from the evidence already available. Sightspool determines the route from the question and the context.

Connected context

PostHog, Stripe, the product repo, prior research and customer evidence become one source-backed understanding of the business.

Specialist UX studio

Research, interaction and service-design agents work from the same context, share memory and surface tensions instead of bluffing past them.

Evidence-backed action

Sightspool turns signals into a clear recommendation, next move and outcome watch—not another dashboard for somebody to interpret later.

Organisational memory

Assumptions, evidence, decisions, changes of mind and results stay connected so the UX function becomes more useful over time.

The Sightspool studio

Specialists that share the same understanding.

These are not four generic chat windows. Each agent has a focused remit and toolset, while working from shared sources, memory, tasks and proof standards.

Specialist agent

Vera

Chief of Staff

Routes the question, coordinates the studio and synthesises the recommendation.

Specialist agent

Ella

User Research

Investigates user intent, evidence gaps, research needs and living personas.

Specialist agent

Theo

Interaction Design

Examines flows, friction, effort and the journeys where the experience breaks down.

Specialist agent

Zach

Service Design

Connects frontstage experience to service gaps, trust, accounts and commercial context.

No proof, no post. No resolution, escalate.The studio makes uncertainty visible and routes high-stakes or unresolved calls to a human instead of manufacturing confidence.

Adnan K. Lodhi, senior UX partner at Sightspool

Adnan K. Lodhi · Senior UX assurance

Human judgment, when it matters

The operating system does the continuous work.

Adnan enters where consequences, ambiguity or research integrity require senior human judgment.

He calibrates the system during implementation, reviews consequential recommendations, resolves tensions that the evidence cannot settle and leads sensitive research. Your product leader still owns the roadmap, delivery and final call.

“The goal is not to place a human inside every step. It is to make sure the right human is present for the steps that deserve one.”
See the managed implementation

Useful questions

The things a sensible product leader will ask.

01Is Sightspool software or a service?

Sightspool is software: an AI-native UX operating system that connects evidence, specialist agents, actions and outcomes. The founding offer is a managed implementation of that software, with senior UX assurance included while we establish the right context and operating rhythm.

02What does Sightspool do that PostHog does not?

PostHog is a first-class source for behavioural evidence. Sightspool asks whether the team is measuring the right things, validates the signals behind a question, combines them with customer, commercial and product context, routes the work through the right UX discipline and turns the result into an action the team can follow through.

03What can the specialist agents do today?

The live studio covers user research, interaction design, service design and cross-functional synthesis. Its agents share approved sources, memory, tasks, personas and journeys, and they work through the same proof gate. Accessibility and content design are natural extensions of the operating model, but they are not being presented as fully evaluated specialist agents yet.

04Does it replace a UX team or product leader?

No. Sightspool provides continuous UX operating capacity and senior decision support; it does not claim to replace every craft deliverable, formal accessibility certification or substantial production design. Your product leader keeps the roadmap, priorities, delivery and final call.

05Do we need perfect analytics or instrumentation?

No. Sightspool starts with the sources you have, distinguishes a genuinely measured zero from an unknown event, and makes missing or unsuitable signals visible. It helps the team define what should be learned next instead of treating an incomplete analytics setup as the truth.

06How do we start?

Create a Builder Free workspace and explore with sample data. Your 30-day Team Trial starts only when you connect the first verified live source. Eligible product teams can request complimentary assisted onboarding: up to four founder hours to connect two sources, activate one real question and produce the first evidence-backed read. Managed Sightspool remains A$5,000 plus GST per month for an initial three months when the team needs continuing senior UX assurance.

Put your UX function to work

What should your product team understand next?

Bring one consequential customer or experience question. We will show you how Sightspool would connect the evidence, route the work and turn it into an action your team can own.

Sightspool — an AI-native UX function for your product team