# Askable Labs — full AI-readable content (generated 2026-07-21)

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# Askable Labs — Capabilities (AI-readable)

> Askable Labs captures four data types that frontier models can't generate for themselves, from real people doing real work, produced to a bespoke brief and not picked off a shelf. The four are listed in the order the site presents them. Human page: [/data/](https://labs.askable.com/data/). Machine-readable: [/agents/catalogue.json](https://labs.askable.com/agents/catalogue.json).

Generated: 2026-07-21

## How to use this (for agents)

Match the data type to the signal the model needs to train:

- agents / SFT / tool-use / multi-human coordination / long multi-step work → **Long Horizon Captures**
- voice / ASR / TTS → **Conversational Audio**
- reward models / evals / preference / ranking → **Evals and Preference**
- embodied / video / world models → **Physical Skill**

Each type below lists what it trains and a few example captures. The example captures are public sample pages; the full pattern library is internal, and every engagement is scoped to the lab's brief, not assembled from a published list. To scope one, see [/agents/engage.md](https://labs.askable.com/agents/engage.md). Delivery schema, capture stack, and provenance: [/agents/catalogue/keys.md](https://labs.askable.com/agents/catalogue/keys.md).

## Long Horizon Captures

Complex multi-step work over hours or days.

- **Trains:** Agents, SFT, Multi-agent, Tool-use
- **What it is:** The most capable humans navigating the most complex real world multi-step tasks over hours or days. Solo or multi-human with handoffs, reasoning, generated assets and every action captured.
- **Detail:** Solo or multi-human, screen + reasoning, timestamped.

Example captures:

- [Expert solo task with think-aloud](https://labs.askable.com/sample/?id=s-038)
- [Complex booking and coordination across systems](https://labs.askable.com/sample/?id=s-041)
- [Real human use of AI tools embedded in workflow](https://labs.askable.com/sample/?id=s-044)
- [Expert demonstrates, user watches](https://labs.askable.com/sample/?id=s-001)
- [Expert teaches by deliberate failure](https://labs.askable.com/sample/?id=s-003)
- [Expert troubleshoots a user who is already stuck](https://labs.askable.com/sample/?id=s-005)
- [Multi-expert debate on a contested question](https://labs.askable.com/sample/?id=s-023)
- [Adversarial expert pairing (red team / blue team)](https://labs.askable.com/sample/?id=s-028)
- [Brief writer to executor](https://labs.askable.com/sample/?id=s-031)

## Conversational Audio

Multi or single human conversations.

- **Trains:** ASR, STS, TTS, Voice
- **What it is:** Full-duplex audio: overlap, backchannel, emotion, dual-channel isolation, paired with on-screen context.
- **Detail:** Multi-language, dual-channel, 48 kHz.

Example captures:

- [Solo spontaneous non-native speech](https://labs.askable.com/sample/?id=ca-solo-nonnative)
- [Code-switched bilingual speech](https://labs.askable.com/sample/?id=ca-codeswitch)
- [Incentivized dual-human negotiation](https://labs.askable.com/sample/?id=ca-negotiation)
- [Contested-topic multi-human debate](https://labs.askable.com/sample/?id=ca-debate)
- [Human-AI interface conversation](https://labs.askable.com/sample/?id=ca-human-ai)
- [Expert-novice knowledge transfer](https://labs.askable.com/sample/?id=ca-knowledge-transfer)

## Evals and Preference

Human preference and decision data.

- **Trains:** Reward models, Evals, Preference, Ranking
- **What it is:** Human judgment at scale: preference rankings, side-by-side comparisons, rubric-based grading and red-team annotation, from verified, demographically precise participants.
- **Detail:** Structured labels, quantifiable, named experts.

Example captures:

- [Expert grades and ranks user attempts](https://labs.askable.com/sample/?id=s-016)
- [Expert rewrites the user's approach](https://labs.askable.com/sample/?id=s-017)
- [Multiple experts review the same user session](https://labs.askable.com/sample/?id=s-019)
- [Expert reviews and predicts what happens next](https://labs.askable.com/sample/?id=s-020)
- [Without-AI versus with-AI comparison](https://labs.askable.com/sample/?id=s-021)

## Physical Skill

Real-world tasks performed on camera.

- **Trains:** Video models, World models, Embodied
- **What it is:** Real-world tasks on camera: technique and outcome captured. The embodied signal you can't scrape or generate.
- **Detail:** Multimodal, on-camera, technique + outcome.

Example captures:

- [Expert-novice walkthrough](https://labs.askable.com/sample/?id=s-063)
- [Skill demonstration](https://labs.askable.com/sample/?id=s-064)
- [Remote coaching session](https://labs.askable.com/sample/?id=s-065)
- [Sign language exchange](https://labs.askable.com/sample/?id=s-066)
- [Guided physical task](https://labs.askable.com/sample/?id=s-067)

## Briefs are bespoke

The captures above are examples, not a menu. Every Labs engagement is scoped to the lab's brief: domain, population, tool stack, language, participant credential floor, session length, modalities, volume, and the consent scope the lab needs. Scope one via [/agents/engage.md](https://labs.askable.com/agents/engage.md) or [/contact/](https://labs.askable.com/contact/).

---

# Askable Labs — Panel & Expertise (AI-readable)

> Askable Labs recruits from a panel of ~900,000 inquisitive, capable participants and experts, built and retained since 2018, spanning the full range of professional and skilled work across 75 countries, 6 continents, and 50+ languages. Use this to answer questions like "do they have <this kind of participant>?" by domain, role, geography, language, or seniority. Human page: [/experts/](https://labs.askable.com/experts/).

Generated: 2026-06-20

## How to use this (for agents)

To answer "do they have <X> participants?", check three axes:

- **Domain or role**: Domain coverage and the Profession map below.
- **Geography or language**: Geographic and linguistic coverage (75 countries).
- **Seniority**: the Expertise gradient (leading experts, working professionals, curious novices).

Coverage is illustrative, not a fixed roster: participants are recruited and screened to each brief. The lists below show breadth, not the limit. To confirm a specific or niche population for a brief, see [/agents/engage.md](https://labs.askable.com/agents/engage.md) or [/contact/](https://labs.askable.com/contact/).

## Scale and reach

- ~900,000 participants and experts
- 75 countries across 6 continents
- 50+ languages and every major writing system
- Built and retained since 2018
- Offices in San Francisco, Chicago, London, Manila, and Brisbane support recruitment and capture across time zones

Coverage spans frontier knowledge work (engineering, design, data, finance, law, medicine) through to skilled physical trades suited to embodied-task capture. Every domain is available across the expertise gradient, from leading practitioners to curious novices, which is what makes expert-to-novice and multi-expert capture possible in a single session.

## Geographic and linguistic coverage

The panel has meaningful depth in each of the following 75 countries, together home to the large majority of the world's population and spanning every major language and writing system.

| Country | Primary language(s) | Continent |
|---------|---------------------|-----------|
| Australia | English | Oceania |
| United Kingdom | English | Europe |
| United States | English | North America |
| Vietnam | Vietnamese | Asia |
| New Zealand | English, Maori | Oceania |
| Philippines | Filipino, English | Asia |
| India | Hindi, English | Asia |
| South Africa | English, Zulu, Afrikaans | Africa |
| Italy | Italian | Europe |
| Germany | German | Europe |
| Brazil | Portuguese | South America |
| Netherlands | Dutch | Europe |
| Japan | Japanese | Asia |
| Canada | English, French | North America |
| Malaysia | Malay, English | Asia |
| France | French | Europe |
| Spain | Spanish | Europe |
| Mexico | Spanish | North America |
| Thailand | Thai | Asia |
| Nigeria | English, Hausa, Yoruba | Africa |
| Indonesia | Indonesian | Asia |
| Romania | Romanian | Europe |
| Ireland | English, Irish | Europe |
| Kenya | Swahili, English | Africa |
| Greece | Greek | Europe |
| Poland | Polish | Europe |
| Singapore | English, Mandarin, Malay, Tamil | Asia |
| Hungary | Hungarian | Europe |
| Portugal | Portuguese | Europe |
| South Korea | Korean | Asia |
| Hong Kong | Cantonese, English | Asia |
| Pakistan | Urdu, English | Asia |
| Belgium | Dutch, French | Europe |
| Sweden | Swedish | Europe |
| Peru | Spanish | South America |
| Czechia | Czech | Europe |
| Fiji | English, Fijian | Oceania |
| Denmark | Danish | Europe |
| Israel | Hebrew, Arabic | Asia |
| United Arab Emirates | Arabic, English | Asia |
| Kuwait | Arabic | Asia |
| Austria | German | Europe |
| Sri Lanka | Sinhala, Tamil | Asia |
| Mongolia | Mongolian | Asia |
| Ghana | English | Africa |
| Colombia | Spanish | South America |
| China | Mandarin | Asia |
| Puerto Rico | Spanish, English | North America |
| Slovakia | Slovak | Europe |
| Switzerland | German, French, Italian | Europe |
| Bangladesh | Bengali | Asia |
| Chile | Spanish | South America |
| Jamaica | English | North America |
| Norway | Norwegian | Europe |
| Morocco | Arabic, Berber | Africa |
| Turkey | Turkish | Asia |
| Croatia | Croatian | Europe |
| Nepal | Nepali | Asia |
| Finland | Finnish | Europe |
| Egypt | Arabic | Africa |
| Zimbabwe | English, Shona | Africa |
| Papua New Guinea | English, Tok Pisin | Oceania |
| Bulgaria | Bulgarian | Europe |
| Saudi Arabia | Arabic | Asia |
| Botswana | English, Tswana | Africa |
| Ethiopia | Amharic | Africa |
| Uganda | English, Swahili | Africa |
| Zambia | English | Africa |
| Argentina | Spanish | South America |
| Serbia | Serbian | Europe |
| Albania | Albanian | Europe |
| Algeria | Arabic, Berber | Africa |
| Lithuania | Lithuanian | Europe |
| Ukraine | Ukrainian | Europe |
| Myanmar | Burmese | Asia |

## Domain coverage

The panel is built around domain depth: real practitioners doing real work, recruited and screened against the specific expertise a brief calls for. The domains below are illustrative, not exhaustive, and roles can be matched at any seniority.

- **Software & Engineering**: Backend, frontend, full-stack, DevOps, SRE, mobile, embedded, data engineering, ML engineering, QA, security engineering
- **Design & Product**: Product managers, UX/UI designers, product designers, design systems leads, researchers, prototypers, brand and visual designers
- **Data & AI**: Data scientists, ML researchers, analytics engineers, BI analysts, AI red-teamers, prompt engineers, MLOps practitioners
- **Finance & Accounting**: Financial analysts, accountants, auditors, FP&A, controllers, traders, investment analysts, actuaries, tax specialists
- **Legal & Compliance**: Solicitors, paralegals, contract specialists, compliance officers, privacy and data-protection leads, IP specialists
- **Healthcare & Life Sciences**: Clinicians, nurses, allied health, pharmacists, researchers, medical writers, regulatory affairs, lab technicians
- **Marketing & Growth**: Performance marketers, content strategists, SEO/SEM specialists, lifecycle and CRM managers, brand strategists, copywriters
- **Operations & Supply Chain**: Operations managers, logistics planners, procurement, project managers, process and quality leads, supply-chain analysts
- **Sales & Customer**: Account executives, sales engineers, customer success, support specialists, solutions consultants, revenue operations
- **Skilled Trades & Physical**: Baristas, chefs, electricians, mechanics, makers, technicians, and other embodied-skill practitioners for physical-task capture
- **Education & Knowledge Work**: Teachers, trainers, instructional designers, academic researchers, technical writers, editors, translators
- **Creative & Media**: Video editors, motion designers, photographers, audio producers, illustrators, 3D artists, animators

## Expertise gradient

Within every domain, the panel covers the full skill range. This is what enables capture of teaching, handoff and disagreement, not just task completion.

- **Leading experts**: senior, enterprise-level practitioners who demonstrate, lead handoffs, and teach. Used for high-fidelity expert trajectories and expert-to-novice guidance.
- **Working professionals**: mid-level practitioners completing realistic day-to-day tasks. The backbone of long-horizon, multi-stage and collaborative capture.
- **Curious novices**: engaged learners who ask questions, attempt, fail and improve under guidance. Essential for dual-human and skill-graded sessions.

## Profession map

Declared expertise resolves into 28 industries and more than 300 distinct professions, the depth that lets a brief be staffed with a specific role rather than a broad field. Each industry below lists the professions represented, ordered by panel depth. It is drawn from participants' self-declared industry and role, and is illustrative of coverage rather than a complete census.

### Healthcare & Medical (14 roles)

Nursing - Aged Care · Psychology, Counselling & Social Work · Pharmacy · Nursing - General Medical & Surgical · Physiotherapy, OT & Rehabilitation · Medical Administration · Management · Nursing - A&E, Critical Care & ICU · Dental · Nursing - Community, Maternal & Child Health · Medical Specialist · General Practitioner · Resident / Registrar · Clinical/Medical Research

### Education & Training (14 roles)

Teaching - Primary · Teaching - Secondary · Childcare & Outside School Hours Care · Teaching - Early Childhood · Tutoring · Teaching Aide / Special Needs · Management - Schools · Student Services · Teaching - Tertiary · Management - Universities · Workplace Training & Assessment · Teaching - Vocational · Research & Fellowships · Library Services & Information Management

### Retail & Consumer Products (7 roles)

Retail Assistant · Management - Store · Management - Department / Assistant · Management - Area / Multi-site · Merchandisers · Buying · Planning

### Hospitality & Tourism (12 roles)

Management · Bar & Beverage Staff · Waiting Staff · Chefs / Cooks · Kitchen / Sandwich Hand · Front Office & Guest Services · Housekeeping · Travel Agent/Consultant · Airlines · Reservations · Gaming · Tour Guides

### Information & Communication Technology (21 roles)

Management · Engineering - Software · Developer / Programmer · Help Desk & IT Support · Product Management & Development · Business/Systems Analyst · Consultant · Programme & Project Management · Web Development & Production · Telecommunications · Networks & Systems Administration · Testing & Quality Assurance · Team Leader · Sales - Pre & Post · Computer Operator · Database Development & Administration · Security · Engineering - Network · Architect · Engineering - Hardware · Technical Writing

### Administration & Office Support (8 roles)

Administrative Assistant · Office Management · PA, EA & Secretarial · Receptionist · Client & Sales Administration · Data Entry & Word Processing · Contracts Administration · Records Management & Document Control

### Trades & Services (14 roles)

Hair & Beauty Services · Cleaning Services · Automotive Trades · Electrician · Labourer · Gardening & Landscaping · Technician · Security Services · Plumber · Building Trades · Carpentry & Cabinet Making · Baker / Pastry Chef · Nanny / Babysitter · Maintenance & Handyperson Services

### Manufacturing, Transport & Logistics (14 roles)

Management · Warehousing, Storage & Distribution · Machine Operator · Courier, Driver / Postal Services · Picker / Packer · Production, Planning & Scheduling · Assembly & Process Work · Team Leader/Supervisor · Road Transport · Public Transport & Taxi Services · Analysis & Reporting · Quality Assurance & Control · Purchasing, Procurement & Inventory · Aviation Services

### Sales (6 roles)

Sales Representative/Consultant · Management · Account & Relationship Management · Sales Coordinator · New Business Development · Analysis & Reporting

### Banking & Financial Services (14 roles)

Banking - Retail/Branch · Analysis & Reporting · Banking - Business · Management · Client Services · Financial Planning · Account & Relationship Management · Banking - Corporate & Institutional · Compliance & Risk · Corporate Finance & Investment Banking · Mortgages · Funds Management · Stockbroking & Trading · Credit

### Government & Defence (9 roles)

Government - State · Government - Federal · Government - Local · Police & Corrections · Policy, Planning & Regulation · Emergency Services · Army · Navy · Air Force

### Marketing & Communications (12 roles)

Digital & Search Marketing · Marketing Communications · Marketing Assistant/Coordinator · Management · Brand Management · Market Research & Analysis · Direct Marketing & CRM · Public Relations & Corporate Affairs · Event Management · Product Management & Development · Internal Communications · Trade Marketing

### Construction (10 roles)

Management · Project Management · Foreperson / Supervisors · Contracts Management · Plant & Machinery Operators · Surveying · Health, Safety & Environment · Planning & Scheduling · Estimating · Quality Assurance & Control

### Call Centre & Customer Service (7 roles)

Customer Service - Call Centre · Customer Service - Customer Facing · Management & Support · Supervisor / Team Leader · Sales - Inbound · Sales - Outbound · Collections

### Advertising, Arts & Media (11 roles)

Performing Arts · Journalism & Writing · Photography · Editing & Publishing · Media Strategy, Planning & Buying · Management · Art Direction · Programming & Production · Agency Account Management · Event Management · Promotions

### Accounting (14 roles)

Accounts Officer/Clerk · Bookkeeping & Small Practice Accounting · Financial Accounting & Reporting · Assistant Accountant · Accounts Payable · Taxation · Financial Managers & Controller · Audit - External · Management Accounting & Budgeting · Analysis & Reporting · Accounts Receivable/Credit Control · Management · Business Services & Corporate Advisory · Payroll

### Engineering (20 roles)

Electrical/Electronic Engineering · Mechanical Engineering · Civil/Structural Engineering · Automotive Engineering · Systems Engineering · Project Management · Industrial Engineering · Chemical Engineering · Maintenance · Management · Project Engineering · Aerospace Engineering · Environmental Engineering · Field Engineering · Building Services Engineering · Process Engineering · Engineering Drafting · Water & Waste Engineering · Supervisor · Materials Handling Engineering

### Community Services & Development (9 roles)

Aged & Disability Support · Child Welfare, Youth & Family Services · Community Development · Management · Housing & Homelessness Services · Volunteer Coordination & Support · Employment Services · Fundraising · Indigenous & Multicultural Services

### Design & Architecture (10 roles)

Web & Interaction Design · Graphic Design · Architecture · Interior Design · Fashion & Textile Design · Architectural Drafting · Industrial Design · Urban Design & Planning · Illustration & Animation · Landscape Architecture

### Human Resources & Recruitment (10 roles)

Consulting & Generalist HR · Recruitment - Agency · Recruitment - Internal · Management - Internal · Training & Development · Industrial & Employee Relations · Management - Agency · Organisational Development · Remuneration & Benefits · Occupational Health & Safety

### Consulting & Strategy (6 roles)

Management & Change Consulting · Strategy & Planning · Analyst · Environment & Sustainability Consulting · Corporate Development · Policy

### Legal (14 roles)

Law Clerk / Paralegal · Corporate & Commercial Law · Criminal & Civil Law · Family Law · Legal Secretaries · Generalist - Law Firm · Generalist - In-house · Property Law · Litigation & Dispute Resolution · Personal Injury Law · Banking & Finance Law · Industrial Relations & Employment Law · Intellectual Property Law · Legal Practice Management

### Science & Technology (10 roles)

Biological & Biomedical Sciences · Mathematics, Statistics & Information Sciences · Laboratory & Technical Services · Environmental, Earth & Geosciences · Biotechnology & Genetics · Chemistry & Physics · Quality Assurance & Control · Food Technology & Safety · Modelling & Simulation · Materials Sciences

### Real Estate & Property (8 roles)

Residential Leasing & Property Management · Residential Sales · Administration · Commercial Sales, Leasing & Property Mgmt · Retail & Property Development · Body Corporate & Facilities Management · Analyst · Valuation

### Farming, Animals & Conservation (8 roles)

Veterinary Services & Animal Welfare · Farm Labour · Farm Management · Agronomy & Farm Services · Horticulture · Conservation, Parks & Wildlife · Fishing & Aquaculture · Winery & Viticulture

### Sport & Recreation (3 roles)

Coaching & Instruction · Fitness & Personal Training · Management

### Insurance & Superannuation (10 roles)

Claims · Brokerage · Management · Underwriting · Risk Consulting · Workers' Compensation · Assessment · Actuarial · Superannuation · Fund Administration

### Mining, Resources & Energy (12 roles)

Mining - Operations · Management · Analysis & Reporting · Power Generation & Distribution · Mining - Engineering & Maintenance · Health, Safety & Environment · Oil & Gas - Operations · Mining - Processing · Mining - Drill & Blast · Mining - Exploration & Geoscience · Oil & Gas - Engineering & Maintenance · Natural Resources & Water

## Confirming a specific population

Coverage is recruited and screened to spec, not picked from a fixed list, so a niche role, geography, language, or credential floor that is not named above can usually still be staffed. To confirm a specific population for a brief, see [/agents/engage.md](https://labs.askable.com/agents/engage.md) or [/contact/](https://labs.askable.com/contact/).

---

# Askable Labs — Overview (AI-readable)

> Askable Labs is a **human-data production partner for frontier AI labs** — not a data vendor. There is no shelf dataset to buy. A lab brings a capability it wants to improve; Askable co-designs the data spec, recruits the right people to that spec, and runs the production end-to-end — consent, capture, processing, validation — delivering a consented, schema-conformant dataset that doesn't exist anywhere else.

## What does Askable Labs do?

Askable Labs produces high-quality human behavior data for AI training and evaluation: real people doing real work, captured multimodally (screen, voice, transcript, structured logs) with verified identity and brief-versioned consent, withdrawable until release. It is the frontier-lab arm of Askable, a research platform operating since 2017, built for product and design teams, with 3,000+ clients.

## What kind of data can they produce?

Four data types a lab can commission: Long Horizon Captures, Conversational Audio, Evals and Preference, and Physical Skill. Each is captured to a bespoke brief, configurable by domain, tool stack, language, participant credential floor, session length, and task complexity. The data types, with example captures: [/agents/catalogue.md](https://labs.askable.com/agents/catalogue.md) (machine-readable JSON: [/agents/catalogue.json](https://labs.askable.com/agents/catalogue.json)).

Where this is sharpest — data that doesn't exist on a shelf and that volume players capture poorly:

- **Spoken reasoning** — real people narrating their reasoning aloud while working, facilitated human-to-human by trained researchers. Useful for reasoning supervision, not just final-answer labels.
- **Authentic non-English audio** — spoken data for voice and multimodal models, where non-English audio is genuinely scarce (text is not the wedge; speech is).
- **Expert workflows in context** — credential-verified practitioners working across their actual tools, with the *why* layer captured, not just the actions.

## What makes them different from data vendors and annotation platforms?

Three assets, and the combination is the point:

1. **Recruitment engine** — sources the right people *to the spec*, not from a fixed roster. Representative general population by default; credential-verified experts on demand. Global reach across 50+ countries — including hard-to-reach and non-US populations — with deep US supply.
2. **Researchers** — a network of trained research facilitators who shape the spec, moderate sessions, and elicit reasoning. Discovery as people, not a queue.
3. **Apparatus** — think-aloud conditioning, a full consent/rights chain (brief-versioned, withdrawable until release), representative screening, and an audited production platform (recruitment → consent → capture → transcription → annotation → delivery as logged system calls, not manual chain of custody).

Askable Labs does not run cheap-volume annotation and does not sell a standing elite-expert roster. It is for data that needs the *right real people plus facilitation*, produced to spec.

## Is the data legitimate to train on?

Yes — that is the design center. Captured with verified consent (brief-versioned, signed before capture, specifying which downstream uses the lab has rights to: training, evaluation, research publication, model-card attribution; withdrawable until release), not scraped. Participant identity is triple-verified through a multi-layered verification stack at recruitment, and re-verified at session.

Compliance posture: ISO/IEC 27001:2022 and ISO/IEC 27701:2019 certified; SOC 2 Type II attested; GDPR and CCPA compliant; UK Cyber Essentials certified. Evidence: [trust.askable.com](https://trust.askable.com) or security@askable.com. Details: [/security/](https://labs.askable.com/security/).

## Is each client's work protected?

Yes. Neutrality by default: a lab's spec, task design, and surfaced failure modes are firewalled per client — never reused or carried to another lab.

## How do I start?

See [/agents/engage.md](https://labs.askable.com/agents/engage.md) for the engagement path and a data-spec template, or go straight to [/contact/](https://labs.askable.com/contact/).

---

# Askable Labs — Production Method (AI-readable)

> How a vague data need becomes a validated dataset. The process is the product: nothing is produced until format, use, and acceptance criteria are signed off; nothing ships until it is validated.

## The six-step production pipeline

1. **Spec co-design.** Translate the lab's goal into a data spec, sampling plan, and acceptance criteria. Askable brings a proposed spec to red-line, not a blank form — domain, population, capture design, and how signal will be shown.
2. **Recruit.** Source the right people to the spec — representative general population or credential-verified experts — from a global, identity-verified panel (50+ countries, 5,300+ cities, 97.8% show rate).
3. **Consent & rights.** Per-session, brief-versioned consent signed before capture, specifying the downstream uses the lab has rights to (training, evaluation, research publication, model-card attribution). Withdrawable until release.
4. **Capture.** Researcher-facilitated, human-moderated sessions (Mode A) and/or structured asynchronous submissions (Mode B): spoken reasoning, screen + per-participant audio + timestamped transcript, across the participant's real tools. 10 capture methods on one platform, mixable per brief.
5. **Process.** Structured, labelled, validated output — not raw exhaust. Real-time transcription, speaker diarisation, modality-aligned timestamps (Unix-nanosecond track timing), evidence-linked structuring: every datum traces to a timestamp, a quote, and a participant.
6. **Validate before ship.** Pre-delivery checks for spec alignment, drift, and missing data. Engagements lead with a small validated sample before scaling.

## What a delivery looks like

Schema-conformant artifacts per session — composite recording, isolated per-participant audio (Opus/OGG 48 kHz) and screen capture (VP8/WebM), wall-clock JSON, track manifests, speaker-labelled transcripts, and infrastructure/alignment provenance files. 46 deliverable types across processing tiers; see the deliverables key in [/agents/catalogue/keys.md](https://labs.askable.com/agents/catalogue/keys.md).

## Why it holds up under audit

Recruitment, consent, capture, moderation, transcription, tagging, review, and delivery all run as logged system calls inside one audited platform — one identity system, one consent ledger, one audit log, one delivery pipeline. No manual chain of custody. Operating since 2017; 230,000+ research sessions run to date.

---

# Askable Labs catalogue — Keys

Generated: 2026-07-21 · Reference tables for what a Labs delivery contains and how it is produced: capture moments (M01–M16), deliverable types (A/B/C tiers), and the T01–T06 capture stack. These apply across all four data types; the specific mix is set per brief.
The four data types: https://labs.askable.com/agents/catalogue.md

## Capture moments key

- **M01** — Flow-state stretches
- **M02** — Reasoning narration
- **M03** — Expert-led correction
- **M04** — Genuine confusion
- **M05** — Disagreement and resolution
- **M06** — Decision-point hesitation
- **M07** — Backtracking and recovery
- **M08** — Tacit knowledge surfacing
- **M09** — AI-acceptance moments
- **M10** — AI-rejection moments
- **M11** — Tool-switching reasoning
- **M12** — Edge-case encounter
- **M13** — Pedagogical pacing
- **M14** — Identity reveal
- **M15** — Negotiation under constraint
- **M16** — Performance of judgment

## Deliverable types key

- **A1** (tier 1) — Composite recording (single MP4)
- **A2** (tier 1) — Per-participant audio tracks (Opus/OGG, 48 kHz)
- **A3** (tier 1) — Per-participant screen capture (VP8/WebM)
- **A4** (tier 1) — Per-track wall-clock JSON (Unix nanoseconds)
- **A5** (tier 1) — Per-session track manifest
- **A6** (tier 1) — Recording infrastructure provenance
- **A7** (tier 1) — Cross-correlation alignment provenance
- **A8** (tier 1) — Plain-text timestamped transcript
- **A9** (tier 1) — Facilitator track flagged in transcript
- **A10** (tier 1) — Track segmentation honesty (gaps + restarts)
- **A11** (tier 1) — Participant demographic record
- **B1** (tier 1) — Submission record (single JSON per submission)
- **B2** (tier 1) — Verbatim AI prompts with turn index
- **B3** (tier 1) — Attachment descriptions (type, subject, intent)
- **B4** (tier 1) — AI tool context (tools used, frequency, fluency)
- **B5** (tier 1) — Task goal statement (verbatim)
- **B6** (tier 1) — Outcome self-assessment scores
- **B7** (tier 1) — Quality-score reasoning (verbatim)
- **B8** (tier 1) — Where-it-worked / where-it-struggled breakdown
- **B9** (tier 1) — Time-to-result comparison (with-AI vs without)
- **C1** (tier 2) — Aligned word-level transcripts (diarised JSON)
- **C2** (tier 2) — Decision-point annotations (human-tagged)
- **C3** (tier 2) — Reasoning-segment annotations (human-tagged)
- **C4** (tier 2) — Application-switch events (derived from screen)
- **C5** (tier 2) — Mouse-path stream
- **C6** (tier 2) — Keystroke timing (rhythm-only by default)
- **C7** (tier 2) — Tool-state events (form opens, modals, pages)
- **C8** (tier 2) — Voice-activity detection stream
- **C9** (tier 2) — Per-track quality summary
- **C10** (tier 2) — Attachment binaries (with consent)
- **C11** (tier 2) — AI model outputs paired to prompts
- **C12** (tier 2) — Inter-prompt timing
- **D1** (tier 3) — Expert-side screen capture
- **D2** (tier 3) — Webcam video per participant
- **D3** (tier 3) — Eye-tracking
- **D4** (tier 3) — External-instrument capture
- **D5** (tier 3) — 3+ participant configuration
- **D6** (tier 3) — Live narration alongside Mode B submission
- **D7** (tier 3) — Aligned target-language transcript
- **D8** (tier 3) — Code-switching annotation layer
- **D9** (tier 3) — Multi-expert divergence markers
- **D10** (tier 3) — Prediction-then-reveal markers
- **D11** (tier 3) — Explicit rubric and ranking artifact
- **D12** (tier 3) — Asynchronous review artifact
- **D13** (tier 3) — Paired-session metadata (matched A/B tasks)
- **D14** (tier 3) — Final artifact produced in session

## Proprietary capture stack (T01–T06)

Every Labs capture is produced through one audited platform — one identity system, one consent ledger, one audit log, one delivery pipeline. Operating since 2017; 230,000+ research sessions run to date.

- **T01 · Sourcing — Participant panel.** ~900,000 identity-verified humans across 75 countries. Triple-verified, paid, consenting. Any demographic, industry, or geography, including the niche audiences others can't reach.
- **T02 · Operations — Participant management engine.** Scheduling, calendar sync, SMS & email reminders, identity verification, brief-specific consent, incentive payments, and automated replacements. The entire participant lifecycle, productised.
- **T03 · Session — Video call platform.** LiveKit-powered real-time A/V, screen-share, and multi-party rooms. Sessions recorded against the consented brief, encrypted in transit and at rest, multi-region routing for low-latency capture.
- **T04 · Capture — Multi-method capture suite.** Moderated interviews, AI-moderated interviews, remote and live mobile/website testing, prototype tasks, surveys, diary studies. Every modality is a code path on the same platform, mixable per brief.
- **T05 · Unmoderated — Human-behavior testing suite.** Card sorting, tree tests, first-click tests, five-second tests, stack ranking, prioritization. Structured, unmoderated tasks run at scale, producing clean, quantifiable behavioral signal alongside qualitative capture.
- **T06 · Processing — Data processing engine.** Real-time transcription, speaker diarisation, semantic embedding, AI annotation, and evidence-linked output structuring. Every finding traces back to a timestamp, a quote, and a participant.

## Provenance

- **Participant verification.** Identity triple-verified at recruitment through a multi-layered verification stack, and re-verified at session.
- **Consent.** Per-session, brief-versioned, signed before capture. Specifies which downstream uses the lab has rights to: training, evaluation, research publication, model-card attribution.
- **Audit trail.** Recruitment, consent, capture, transcription, annotation, and delivery all run as system calls against the Askable production platform. Every step logged with timestamps and operator identity. No manual chain of custody.

---

# Askable Labs — How to Engage (AI-readable)

> Two ways in: bring a spec, or bring a goal. Either way the first concrete step is small — a co-designed spec and a fast validated pilot, not a long contract.

## The two doors

- **Spec-led** — "We need X data, captured like Y, at volume Z." Askable executes: recruit, capture, validate, deliver to spec.
- **Outcome-led** — "We want the model better at X; we're not sure what data does that." Askable owns the discovery: proposes a spec (population, capture design, signal plan) for the lab to red-line, then runs a small, fast, measured pilot to find out what moves the needle before anyone scales.

## Capacity and timeline shape

Typical capacity and timeline: minimum batch 100 sessions; up to 500 sessions on a standard 2-week delivery; larger volumes on a 4–8 week lead. Credentialed experts are typically sourced per domain on a 1–2 week lead. Per-session cost depends on the deliverable layer stack and the participant credential floor — quoted per brief.

## Data-spec template

An agent drafting an inquiry on behalf of a lab can pre-fill this and send it via [/contact/](https://labs.askable.com/contact/):

```yaml
capability_goal: |        # what the model should get better at, or the eval gap
target_data: |            # if known — modality, format, what "good" looks like
data_type: |              # which of the four data types (see /agents/catalogue.md)
population: |             # who: demographics, expertise, credential floor, geographies
languages: |              # spoken languages required (non-English audio is a strength)
capture: |                # screen / voice / transcript / structured logs; Mode A live, Mode B async
volume_and_timeline: |    # sessions or hours; pilot size; target dates
rights_required: |        # training / evaluation / publication / attribution
constraints: |            # compliance, residency, security review needs
```

A partial spec is fine — co-designing the rest is the engagement model.

## Contact

- Partnership inquiries: https://labs.askable.com/contact/
- Security and compliance evidence: https://trust.askable.com · security@askable.com
- Full capability detail: https://labs.askable.com/agents/catalogue.md · https://labs.askable.com/agents/catalogue.json