Metaforms

Now our research operations automation stack supports 7 popular platforms for survey programming through direct API route. Metaforms API can also connect to in-house survey programming tools of agencies which aren't currently supported.

We're attending the MRSI Annual Seminar next week! Super excited to connect with our partners, clients and peers to enable high-quality automation for market research operations.

Our own Siddish ‎wrote a brilliant piece for Quirk's Media on how AI can be used to prevent fraud and streamline research operations. "Conversational AI has surpassed its scope and application in the field of market research, especially in qualitative interviews. It leverages varied AI capabilities to minimize fraudulent survey responses and optimize data quality. For instance, dynamic voice agents employ robust AI-driven, anti-fraud security systems that include a comprehensive multi-stage interview screening including pre-screening and rescreening to maintain data quality and data integrity in qualitative market research." https://lnkd.in/gtW4_VR2

The truth is majority of the qual research project time and budget is not spent in actually interviewing or understanding participants— but in coordinating how to make those few hours of conversations happen. This is hard neglected work of research operations is both under-paid and under-appreciated.

"Our project manager claims to have to talked to 10 participants to verify their eligibility but her call logs say otherwise. We don't want to do babysitting but we don't trust her either." We've heard versions of this from research operation teams over and over again, and figured out that Trust is indeed the most expensive input in market research. Adding greater transparency by default is the best way to build trust internally and with the clients as well. This is why we decided to give our customers access to 100% of the transcripts for all screeners and data collection projects we execute for them.

Imagine pouring your heart (and budget) into a qualitative research project, only to discover later that bad data – from misrecruitment to outright fraud – renders your findings useless. This scenario, unfortunately, is more common than we'd like to admit. Qualitative research holds immense power – it unlocks the "why" behind the "what," uncovering the rich tapestry of human experience. But unlike quantitative research with its RESEARCH DEFENDER, qualitative data often lacks a safety net. The consequences of this are staggering: 1. Wasted Resources: Investing in recruitment, data collection, and analysis for projects with compromised data is a million-dollar mistake. 2. Lost Opportunities: Delayed or derailed projects mean missed deadlines and potentially losing out on valuable insights. 3. Damaged Reputation: Presenting unreliable findings undermines researcher credibility and erodes trust with clients and stakeholders. We urgently need a QUALITATIVE DATA GUARDIAN to fortify our research. Here's how we can fight back: 1. Rigorous Screening: Implementing robust recruitment processes ensures we talk to the right people, minimizing wasted resources. 2. Standardized Methods: Structured interview protocols and observation checklists reduce subjectivity and potential fraud. 3. Data Verification Techniques: Cross-referencing information and employing data triangulation techniques add an extra layer of confidence. 4. Collaboration between Researchers: Inter-coder reliability and peer review strengthen the credibility of our interpretations. Qualitative research can be a game-changer, but only with robust data. Let's prioritize data quality and avoid the million-dollar mistake. It's time for qualitative research to have its own "DATA GUARDIAN."

Thank you, Mike Stevens. Excited to partner with you!

As qualitative researchers, we're constantly evolving our methods to ensure data integrity. Traditional Safeguards are pretty limited and prone to abuse by AI or are too expensive to execute reliably at large scale— ✅ Phone prescreening ✅ Trick questions in surveys ✅ IP screening and digital fingerprinting ✅ Database of known fraudulent participants 🎙️ AI Voice Forms 1. Use AI to analyze voice responses for authenticity 2. Detect inconsistencies in speech patterns and content 3. Verify respondent identity through voice biometrics By combining traditional methods with AI voice technology, we can: 1. Enhance participant screening accuracy 2. Reduce fraudulent responses 3. Improve overall data quality One of the leading market research agencies Metaforms worked with reduced fraud incidents during fieldwork from 19% to 2.7% using a combination of methods. What are your thoughts on integrating AI into qualitative research methods? How do you see this shaping the future of our industry? #QualitativeResearch #AI #MarketResearch #DataIntegrity #ResearchInnovation

Interesting piece from Quirk's Media about respondent quality control- "Fraudsters are real people acting in bad faith and can comprise 5-25% of respondents. They pretend to know the product category, lying their way through screeners. Once they know how to get past the screener, they can sell that information online, post it on web forums and repeatedly complete your survey for the incentives. There are Reddit communities built around doing exactly this and profiting from it, with people posting their monthly earnings of survey income as a badge of honor and bragging rights. And now the frauds are leveraging AI to infect surveys with greater efficiency than ever before." https://lnkd.in/ekgVbSQH

Dive into the future of research. Discover cutting-edge tools designed to revolutionize data gathering and analysis, making your research smarter and more efficient. Get insights on the top AI tools from AI Tools Review. Visit the website now! https://lnkd.in/gExYjBhr #AITools #AIReviews #ArtificialIntelligence #TechToolsb #Aitech #aitechnology #aitoolsfordesign #aitoolsinsocialmedia #aitoolsformarketers #aitoolsforwriting #aitoolsforstudents #digitaltools #TechUpdates