GLG vs User Intuition: Expert Calls and Customer Research

GLG supports expert consultations, surveys, qualitative research and advisory work. An industry specialist can explain how a market operates, how procurement works or which developments matter. GLG can also support customer research; the central buying decision is which people have the experience needed to answer the question.

User Intuition’s customer diligence workflow can explore why buyers choose a supplier, what would make them switch and how a product fits into their work. A deal team can connect these accounts with expert analysis, testing whether a market thesis matches the experiences of the customers on whom it depends.

GLG’s AI-moderated expert calls follow a client’s guide, probe responses and can include structured questions. Named experts and timestamped source material support review. The format can extend a specialist research effort across several perspectives.

User Intuition’s laddering approach is informed by Reynolds and Gutman’s laddering method, which connects product attributes to consequences and personal values. In a supplier-switching study, a low price may matter because it reduces budget pressure, while continuity may matter because disruption threatens the buyer’s credibility. Understanding that chain helps a team evaluate retention risk and which part of a commercial proposition influences selection. CHG Healthcare interviewed physicians from its own CRM by audio in its walk-away study, and the findings overturned its pay hypothesis: physicians left over process friction and missing upfront assignment details.

GLG’s automated expert calls run without arranging a live moderator and support ten languages. Its broader services include human calls and research engagements with their own scope and scheduling. An existing expert transcript can answer a question immediately; a narrowly defined specialist brief can need additional recruitment.

User Intuition supports interviews in 80+ languages through BYOP or a 4M+ vetted panel. For company-specific diligence, invite actual customers or recruit the specialist profiles the brief requires. Results arrive as interviews complete, so teams can review the evidence across segments while fieldwork continues. Specialist recruitment requires a separate feasibility and cost assessment.

GLG’s services span expert calls, content access and custom research, so the proposal should specify the expert profile, format and work included. A specialist consultation and a standard-panel customer interview buy different access and expertise. The relevant comparison is the cost of obtaining the evidence the decision requires.

User Intuition’s standard-panel example applies to eligible audiences. Named-company customers and rare professional profiles are recruited to order; BYOP incentives are separate. A team with customer access can start with those participants, then direct further spending toward the unanswered questions and missing experiences identified by the evidence review.

In customer diligence, a polished answer can conceal a shallow understanding of the purchase or renewal. User Intuition checks substantive detail and coverage of the brief before charging. This helps a team direct its budget toward conversations that contain usable evidence rather than treating completion alone as sufficient.

GLG uses expert vetting and compliance processes, and its AI-call reporting links findings to named experts and source material. Those controls serve its specialist research model. User Intuition makes the interview billing rule explicit: failed Length, Depth or Coverage checks mean no charge and no refund request.

User Intuition’s evidence review is informed by Malterud et al.’s information power framework and Hennink et al.’s meaning-saturation research. These approaches connect sample adequacy to relevant information and distinguish identifying a theme from understanding it in depth. For a retention thesis, User Intuition can distinguish detailed renewal experiences from general expressions of satisfaction. It can recommend deeper analysis of existing switching stories or targeted interviews with a missing customer segment, prioritizing the uncertainty most likely to affect the investment or commercial decision.

A shopper study illustrates how this evidence review works. We interviewed 43 Walmart shoppers to understand purchase decisions, trip friction and return intent. Thirty-six said they would shop at Walmart again. User Intuition recommends recontacting shoppers after their next comparable trip and comparing those who returned with those who chose another store. The follow-up tests which experiences turn stated intent into a store choice. Explore the Walmart study, two recommended follow-ups and sample presentation.

GLG’s MCP connector supports comparing expert perspectives and drafting follow-up briefs from the firm’s calls and content library. This makes specialist knowledge available within an assistant’s research workflow.

With User Intuition’s research agents, the team can turn a specific gap into a customer study. The assistant can prepare questions, audience criteria and a cost estimate for review, then launch within approved spend. Findings return with supporting quotes for the next round of analysis and decision-making.

User Intuition builds synthetic participants from real, opted-in respondents, using their individual traits, habits and behaviors. It repeatedly compares synthetic responses with the same respondents’ real answers to calibrate the models. That grounding preserves differences in experience and priorities that generic LLM feedback tends to flatten.

This design is informed by Park et al. (2024). Their simulations of 1,052 people reproduced General Social Survey answers 85% as accurately as those people reproduced their own answers two weeks later. The study informs User Intuition’s emphasis on individual grounding and repeated calibration. For commercial diligence, this supports sharper questions about switching, adoption or willingness to change, informed by differences between individual customers.