From the right people to the right decision.
Both DLYTE and Respondent help businesses recruit people and conduct research.
Respondent brings substantial global research scale. DLYTE combines Australian participant recruitment, advanced matching, research operations, moderated and unmoderated testing, behavioural analysis and decision guidance — designed for research professionals and businesses with no research expertise.
DLYTE's current public panel describes 20K+ Australian testers and dedicated consumer, professional, accessibility and specialist audiences.
The comparison
DLYTE vs Respondent
| Capability | DLYTE | Respondent |
|---|---|---|
| Core approach | Start with what you need to learn. DLYTE guides the research approach, conducts the testing and helps identify what to improve next. | Describe what you want to learn and configure research using its panel and research tools, including AI-assisted project creation.[1] |
| Australian participants | 20K+ Australian tester network | Approx. 59K Australian participants[2] |
| Global reach | Australia-first | 4.3M+ participants across 150+ countries[3] |
| Consumer audiences | ✓ | ✓ |
| Professional audiences | ✓ | ✓ |
| Accessibility audiences | ✓ Functional access and assistive-technology matching | ✓ 415K participants self-reporting disability; 120K using assistive technology[2] |
| Specialists & experts | ✓ Specialist and targeted expert recruitment | ✓ 450K subject-matter experts[2] |
| Advanced targeting & matching | ✓ Persistent profiles, demographic, professional, behavioural, device and accessibility criteria, study criteria and visible Profile Match | ✓ 50+ demographic, professional and behavioural attributes, screening and matching[2] |
| Study qualification | ✓ Profile eligibility + study-specific screeners | ✓ Targeting + screener qualification |
| Participant risk controls | Account, phone, profile, device, payout-recipient and connected-account signals, with review pathways | Identity verification and fraud controls; Respondent reports an audited fraud rate below 1%[2] |
| Research scheduling | ✓ Integrated availability, booking, status, reminders, rescheduling and attendance workflow | ✓ Automated scheduling, calendar integration, booking rules and moderator assignment[4] |
| Participant messaging | ✓ Conversations remain connected to the study | ✓ Participant management and communication workflows |
| Session readiness | ✓ Camera, microphone and connection readiness before moderated sessions | Scheduling and meeting preparation integrated into the research workflow |
| Moderated research | ✓ Interviews, scheduling, recordings and transcripts | ✓ Human-moderated interviews |
| Unmoderated research | ✓ Structured website, concept and behavioural testing | ✓ Unmoderated research and usability testing[5] |
| Behavioural flow analysis | ✓ Journey funnels, direct and indirect paths, detours, backtracking, recovery, dead ends and participant-level paths | Supports usability and unmoderated testing, including observing clicks, hesitation and participant behaviour[5] |
| Research guidance | ✓ Tell DLYTE what you want to learn and DLYTE maps the question to an appropriate test and research method | ✓ AI can turn a plain-language research goal into a project, targeting and screener[1] |
| Research interpretation | Structured findings, primary gaps, behavioural signals and evidence-linked recommendations | AI synthesis of themes, sentiment, evidence, quotes and recommendations[6] |
| What to improve next | ✓ Improvement recommendations + recommended follow-up validation based on the detected research gap | AI-generated research reports can include a recommended next move[6] |
| Built for non-researchers | ✓ Core product principle — start with the business question, not research jargon | AI-assisted project creation reduces research setup complexity |
| Built for researchers | ✓ Full research workflows remain available to experienced practitioners | ✓ Strong research-team and research-operations focus |
| Pricing approach | Pay for the research you need. No subscription lock-in. | PAYG, credit bundles and higher-volume options; PAYG charges on completed sessions plus participant incentives[7] |
DLYTE's product architecture is built around Problem → Question → Test → Decision, translating business uncertainty into structured research rather than requiring a business to know the method first.
Research expertise shouldn't be a prerequisite.
Research professionals can use DLYTE's targeting, screeners, scheduling, moderated and unmoderated testing, transcripts and behavioural results directly.
But DLYTE is also designed for businesses that simply know what they need to learn.
You tell DLYTE:
- “Why aren't people completing checkout?”
- “Do customers understand our pricing?”
- “Does our offer make sense?”
- “Is this idea worth pursuing?”
DLYTE helps determine:
What to test → who to test it with → what happened → what deserves improvement next.
The method recommendation system is designed to take a business goal and map it to the appropriate test type and research methods.
What you can expect from DLYTE
20K+
Australian tester network
Consumer, professional, accessibility and specialist audiences.
Advanced matching
More than demographic filters
Persistent participant profiles, study criteria, screeners and visible match signals.
Research-ready
Fit + practical readiness
Scheduling, messaging, camera, microphone and connection checks are connected to the research workflow.
Decision-ready
Not just research output
Findings, behavioural patterns, recommendations and what to validate next.
Both platforms can help you run research.
The difference is what DLYTE is designed to optimise for.
Respondent has a substantially larger international panel and mature research infrastructure. Its current platform includes advanced targeting, automated scheduling, AI project setup, AI-moderated interviewing and research synthesis. [1]
DLYTE is deliberately Australia-first and decision-led.
It combines participant recruitment and research operations with guided research logic and behavioural interpretation so teams can move from:
DLYTE's Signal Engine is designed as a diagnostic reasoning layer: it evaluates participant evidence against intended outcomes, identifies gaps, generates improvement recommendations and can map those gaps to appropriate follow-up validation.
Frequently Asked Questions
From question to decision
Find the right people.
Know what to improve next.
Tell DLYTE what you're trying to understand.
We'll help guide the research, connect you with relevant Australian participants and turn what people say and do into clearer direction for the next decision.
No research expertise required.