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US Full-Service Market Research Platforms That Run the Study 2026

Sep 1, 2026Sreenadh NarayananSreenadh Narayanan13 min read
full service market research platform market research platforms that run the study for you market research platforms that also run the fieldwork full service market research companies us managed market research platform market research fieldwork services research platforms with recruitment and analysis run studies for you concept testing surveys interviews
Managed research model compared with self-serve research software

TL;DR

  • A managed research platform pairs software with a research team that designs the study, recruits and screens respondents, manages quotas and incentives, and delivers analyzed findings.
  • The real selection question is not software versus agency but who absorbs the work when fieldwork goes wrong.
  • Self-serve is the better buy for frequent, iterative studies run by staffed teams; the managed model wins when recruitment, reach or headcount is the constraint.

Last updated: 8 October 2026

Quick Answer: The US full-service market research platforms that run the study for you in 2026 include Alchemic, Dynata, GetWhy, Ipsos, Kantar, Listen Labs, Qualtrics and Toluna. Outset, Perspective AI and Typeform pair self-serve software with optional expert service or automation, while Prolific, Respondent and User Interviews recruit participants and leave the fieldwork to you.

Fieldwork never stopped being the hard part. Pew Research Center's telephone polls saw response rates fall to 6% by 2018, and the work of finding, persuading and verifying respondents moved channels rather than disappearing. Software made questionnaires cheap; it did not make participation cheap.

The useful test cuts through every label on a vendor's site: when a quota will not fill in week two, whose problem is that? On a self-serve product it is yours. On a full-service platform it is contractually the vendor's, and everything else in this category is detail around that one allocation of failure.

Key takeaways

  • The models differ on who works. Full-service firms and platforms run the study, self-serve platforms sell software with optional expert help, and recruitment marketplaces only find participants.
  • Full service means the vendor owns every job, from design and sourcing through quotas and incentives to quality control and analysis.
  • Check the add-on line. Some AI interview platforms sell project setup and recruitment as plan add-ons rather than as the default.
  • Reach is part of fieldwork. A web-link study samples the connected end of every market; WhatsApp and phone fieldwork reach further.
  • Ask one question first. "What happens when a quota will not fill?" separates the models in a single answer.

Full-Service Market Research Platforms Compared on Fieldwork, Panels and Recruitment

The fourteen vendors below differ on who does each job: who designs the study, who recruits from which panel, and who moderates and analyzes. The table reads each vendor's own pages.

How This Guide Evaluates Design, Recruitment and Analysis

Each vendor was read against five criteria on its own pages on 8 October 2026. No trials were run, so this is a capability read, not a quality test, and moderation quality is not ranked.

  1. Model: full service, platform with optional service, or recruitment only.
  2. Study design: the vendor's researchers, an automated flow, or the buyer.
  3. Recruitment: the vendor's panel, partner panels, the buyer's list, or a mix.
  4. Fieldwork and analysis: who moderates, checks quality and writes the findings.
  5. Methods: surveys, AI-moderated interviews, video, concept tests.

Comparison at a Glance

Rows are sorted by tier, vendors that run the study first and recruitment-only marketplaces second, and alphabetically within each tier.

Vendor Model Who designs Who recruits Who runs fieldwork and analysis
Alchemic Platform plus research team, white glove or self-serve Its researchers, or the buyer Its panel network, the buyer's list, or a hybrid top-up Its team, with AI moderation on web, WhatsApp and phone
Dynata First-party panel with managed services Questionnaire review and scripting support Its panel of millions of profiled consumers and professionals Managed project teams; reporting and visualizations
GetWhy AI video interview platform with an in-house research team The platform, or the GetWhy Research Team GetWhy, including hard-to-reach audiences Self-serve, or full-service delivery
Ipsos Full-service agency Ipsos researchers 6m+ proprietary panelists across 90 markets Ipsos teams
Kantar Agency with the Profiles panel network Kantar survey design teams 170m+ people across 100 markets Fieldwork management by Kantar teams
Listen Labs AI interview platform with senior in-house researchers The buyer, with research partners A 50M+ participant network, or the buyer's list Platform plus in-house researchers
Outset Subscription AI interview platform with expert add-ons The buyer, or its team by plan The buyer's panel, its recruitment, custom sourcing by plan The buyer, with guided analysis by plan
Perspective AI Self-serve AI conversations plus research as a service The buyer, or its team Its sourcing on request Its team on the service tier
Qualtrics Survey platform plus Research Services Research Services team Panel recruitment through Research Services Research Services codes, weights and tabulates the data
Toluna DIY platform plus custom research The buyer, or custom research experts 81M-member panel in 100+ countries The buyer, or Toluna experts
Typeform Research Flow Automated end-to-end research workflow AI study design Verified participants with automated screening Automated AI-moderated conversations and insights
Prolific Recruitment marketplace The buyer Verified participants, mostly in OECD countries The buyer
Respondent Recruitment marketplace The buyer 4.3M+ identity-verified participants in 150+ countries The buyer
User Interviews Recruitment platform The buyer Its panel, your panel, or both The buyer

If you want the study run rather than a tool handed over, scope a managed study with a research team and test it against the quota question below.

Platforms That Run Studies for You, From Concept Tests and Surveys to Qualitative Interviews

These eleven run some or all of the fieldwork, from surveys and concept tests to moderated interviews. Alchemic is listed first as this page's publisher; the other ten follow alphabetical order.

1. Alchemic: Best for Studies Run End to End Across WhatsApp, Phone and Web

Alchemic pairs an AI interview platform with a research team and runs end-to-end consumer research at scale. Researchers turn a brief, from one line to fully specified, into a discussion guide in under an hour; fieldwork is managed or bring your own, with screening, quotas, incentives and fraud flags handled across 14 markets including the USA and the UK.

Strengths: respondents answer by web link, natively inside WhatsApp in text and voice notes, or on an outbound AI phone call; qual and quant, including conjoint and MaxDiff, share one interview; a 200-interview qualitative study reaches a live dashboard in 3 days, 5 to 7 when complex.

Limitations: pricing is not published, and its SOC 2 Type II audit is in progress.

Best for: teams that want the whole study run for them, including respondents a web link misses.

2. Dynata: Best for Survey Fieldwork on a Large First-Party Panel

Dynata sells first-party survey data from "millions of deeply profiled consumers and business professionals globally," with managed services covering project management, survey scripting and reporting. Its range runs "from self-service sample to managed solutions."

Strengths: even a sample purchase includes questionnaire review, screening suggestions and soft-launch monitoring.

Limitations: the offer is organized around survey sample and data rather than moderated qualitative interviews.

Best for: quantitative studies that need panel scale and project support.

3. GetWhy: Best for AI-Moderated Video Interviews With an Agency Option

GetWhy's platform "designs the study, recruits participants, runs AI-moderated video interviews and delivers decision-ready insights in days, not weeks," and buyers can "brief the GetWhy Research Team for full-service delivery."

Strengths: one vendor for self-serve and full-service video qual, with connections to Market Logic and Stravito.

Limitations: video interviews need a camera and a stable connection on the respondent's side.

Best for: enterprise consumer insights teams that want video evidence.

4. Ipsos: Best for Multi-Market Custom Research Under One Contract

Ipsos describes itself as one of the world's leading market research companies, working across 220 cities and 90 markets for 5,000 clients, with 6m+ authenticated proprietary panelists.

Strengths: in-country teams across 220 cities for programs spanning many markets.

Limitations: custom programs are scoped and quoted study by study; quick self-serve reads run on a separate platform, Ipsos.Digital.

Best for: global segmentations and trackers.

5. Kantar: Best for Survey Design and Fieldwork Management at Panel Scale

Kantar's Profiles research teams "provide expertise across both survey design and fieldwork management," with programmatic access to over 170m people across 100 markets and omnibus surveys in over 50.

Strengths: 35+ years of LINK creative-testing data for benchmarks, plus Qubed AI fraud detection on its panels.

Limitations: the reach is online panel reach.

Best for: brand, creative and omnibus studies needing benchmarks.

6. Listen Labs: Best for AI Interviews Backed by a Senior Research Team

Listen Labs calls itself "the research partner for hundreds of leading brands," with "senior in-house researchers across UX, Insights, and Data Science" and participants "qualified from a global network of 50M+ participants," or the buyer's own contacts.

Strengths: large recruited reach with research expertise attached to the platform.

Limitations: its site describes no WhatsApp or phone fieldwork, so respondents who will not open an interview link need another route.

Best for: large consumer and B2B interview programs.

7. Outset: Best for Researchers Who Want Methodology Control

Outset sells subscription plans for its AI-moderated platform, supported by its own research experts "when you need them." The plan list includes project setup and guide programming by its team, data collection orchestration and custom panel sourcing, with access varying "by your custom plan and add-ons."

Strengths: text, voice and video responses in 40+ languages, a SOC 2 Type II certification, and buyer control over guide and analysis.

Limitations: how much of the study the vendor runs depends on the plan bought.

Best for: staffed insights teams; a side-by-side of the self-serve and managed models sets out the trade-off.

8. Perspective AI: Best for Starting Self-Serve With a Service Tier in Reserve

Perspective AI sells AI-powered conversations on credits and a Research as a Service tier: "We design, run, and analyze your entire study with AI-powered interviews," with participant sourcing on request.

Strengths: a buyer can switch between the service tier and self-service.

Limitations: the company's homepage now centers on replacing business forms with AI conversations, so research is one use among several.

Best for: teams testing AI interviews before committing a program.

9. Qualtrics: Best for Teams Already Running Qualtrics Surveys

Qualtrics Research Services covers survey design, programming and translation, panel recruitment, list and incentive distribution, project management, and data cleaning, weighting, open-end coding and tabulation, and lets a team "dial up/down services" as the project needs.

Strengths: service delivered on the survey platform many enterprise teams already license.

Limitations: the work is built around Qualtrics' own survey tooling.

Best for: enterprise survey programs that need extra hands.

10. Toluna: Best for Switching Between DIY and Custom Research

Toluna runs Toluna Start, where teams "design and run research independently ... with expert support available when needed," and a custom research team that conducts studies "tailored to your needs," on an 81M-member panel across 100+ countries.

Strengths: one vendor for DIY quant, asynchronous qual and custom studies.

Limitations: panel reach follows online access.

Best for: teams that self-serve routine work and hand off the hard studies.

11. Typeform Research Flow: Best for an Automated Flow From Design to Insight

Typeform's Research Flow is "an end-to-end, AI-powered market research workflow": AI designs the study, participants are recruited "using automated screening and built-in incentive management," and AI-moderated conversations produce themes, quotes and clips.

Strengths: qual and quant in one study, from question to readout in hours.

Limitations: the flow is automated rather than staffed; its page describes no research team.

Best for: product and UX teams that want speed over service.

Recruitment Platforms That Find Participants but Leave the Study to You

Prolific, Respondent and User Interviews recruit; the buyer designs, moderates and analyzes. That is the right split for a team with researchers and the wrong one for a team without them.

  • Prolific says most of its verified participants live in OECD member countries and suits online experiments and surveys.
  • Respondent offers 4.3M+ identity-verified consumers, professionals and experts across 150+ countries, recruited for "any research methodology" in "any research tool."
  • User Interviews calls itself "the complete research recruitment platform," sourcing from its panel, the buyer's panel, or both.

When the gap is people rather than tools, the data collection companies for market research guide covers fieldwork-only suppliers.

What Does Full-Service Fieldwork Actually Include?

Seven jobs, whether a legacy firm or a platform performs them. A vendor claiming full service should say concretely how each runs, under duties the ICC/ESOMAR International Code sets for everyone in the research chain, contractors included:

  1. Study design: turning a business question into a guide and instrument.
  2. Respondent sourcing: a panel, a client list or a hybrid.
  3. Screening: confirming people genuinely qualify, where most studies stall.
  4. Quota management: keeping the sample balanced as completes arrive.
  5. Incentive delivery: paying people in ways that work locally, from gift codes to UPI or mobile money; the World Bank's Global Findex shows how unevenly account ownership spreads across markets.
  6. Quality control: fraud flags, contradiction checks and straight-lining checks.
  7. Analysis: findings that drill to the verbatim behind them.

Fieldwork is the expensive layer. Research on mobile phone surveys cites a UN estimate that phone surveys can cut costs by up to 60% for health monitoring in low- and middle-income countries, which is why managed platforms try to keep the competence while taking cost and calendar out.

Fieldwork ownership matters most where respondents are hardest to reach. Pew's mobile fact sheet counts 34% of US adults in households earning under $30,000 a year as smartphone dependent, with no home broadband, and the ITU's Facts and Figures 2025 counts 2.2 billion people offline worldwide. A self-serve study fielded by web link samples the connected end of every market it touches.

Managed fieldwork is partly a channel answer. Alchemic interviews inside WhatsApp with no link and no app, calls any working number including feature phones, and recruits through its panel, client lists or hybrid top-ups, from metros and Tier 1 through Tier 2 and Tier 3 India and across 13 other markets including the USA and the UK. How AI-moderated qual is run as a service is set out in qualitative research platforms that run interviews.

When Self-Serve or Another Approach Is the Better Choice

Other models are the better pick for these jobs:

  • Weekly product research by a staffed team. A self-serve tool such as Outset or Typeform Research Flow keeps iteration fast, and Alchemic sells a self-serve mode for the same job; routing weekly loops through a service layer adds days without adding rigor.
  • A board-level global segmentation. Ipsos or Kantar bring senior consultants and decades of norms.
  • Recruiting for your own researchers. Prolific, Respondent or User Interviews fill sessions without a service markup.
  • Large quantitative sample with project help. Dynata or Toluna.
  • Teams already licensed on a survey suite. Qualtrics Research Services keeps work in the tool they know.

The guide to choosing an AI-moderated interview platform covers the self-serve side in depth.

Where the Managed Model Falls Short

The managed model concentrates trust in one vendor, and that concentration has costs a buyer should price:

  • Method control narrows. You approve the design; you do not operate it, which frustrates teams with strong internal researchers.
  • The brief becomes the bottleneck. A vague brief produces a polished answer to the wrong question, faster than before.
  • Switching costs accumulate. Panels, screeners and study context live with the vendor; ask at selection how transcripts and guides export.
  • Verification is on you. Ask for sourcing documentation, screening logic, fraud checks and transcripts on request, the checks listed in the vendor reach questions.
  • Mode limits. Text and voice interviews carry no facial signal, and how much latitude an AI moderator has to leave the guide varies by tool. Once it has the client's brief, Alchemic designs and tailors the discussion guide to handle these risks before fielding, rather than leaving that work to the buyer, as part of its managed market research service.

Sources and Methodology

Vendor facts come from each vendor's own pages, read on 8 October 2026; no vendor page is linked. Each source below is linked once, inline:

  • Pew Research Center, 2019: telephone poll response rates at 6% in 2018.
  • ICC/ESOMAR International Code: duties across the research chain, contractors included.
  • World Bank, Global Findex: account ownership across markets.
  • PMC, review of mobile phone surveys: the UN estimate of up to 60% lower survey costs.
  • Pew Research Center, Mobile Fact Sheet, 2025: smartphone dependence by household income.
  • ITU, Facts and Figures 2025: 2.2 billion people offline.

Frequently Asked Questions

Is Full-Service Research More Expensive than Self-Serve Software?
On the invoice, usually; in total, often not. A self-serve license excludes the labor of recruitment, screening, incentives, quality checks and analysis, which lands on your team instead. Compare quotes on one denominator, cost per completed and qualified interview, and add an estimate of internal hours to the self-serve column before deciding.
How Long Does a Full-Service Study Take from Brief to Results?
Days to weeks, depending on method and audience. Several AI-moderated services quote days for a qualitative study of around 200 interviews, against the four to six weeks commonly cited for traditional agency work. Recruitment difficulty, not moderation, sets the pace, so a niche or multi-market sample adds more time than extra interviews do.
What Should a Full-Service Research Contract Specify?
Spell out the deliverables, the sample definition and screening criteria, quotas, the incentive and how it is paid, the quality checks, the data and transcripts you receive at the end, and the timeline with revision rounds. A contract silent on any of these leaves the vendor to decide it after fieldwork starts.
Can a Full-Service Vendor Field to Your Own Customer List?
Yes, and many will mix it with their own panel. Ask how the vendor dedupes your list against its panel, who contacts your customers and under which consent, whether incentives differ between the two groups, and whether results can be cut by source so customers and non-customers are never blended without your knowing.
Does Full Service Cover Quantitative Surveys as Well as Interviews?
It depends on the vendor's core. Panel companies and agencies run large surveys routinely, while AI interview services increasingly blend structured questions with open probing in one conversation. Ask for an example deliverable from each method you need, because a vendor strong in one often subcontracts the other.

About the Author

Sreenadh Narayanan is the founder of Alchemic, an AI-powered consumer research platform used for ad testing, concept testing and brand tracking. He writes Alchemic's guides on qualitative research and research methods, covering interview design, sample sizes and how teams turn customer conversations into decisions.