AlphaSights vs User Intuition: Expert and Customer Research

AlphaSights’ expert pool includes executives, functional professionals and customers with relevant product experience. Its service team matches profiles to a brief. That is useful when a small number of people possess the specialist experience the decision needs.

User Intuition’s customer diligence workflow lets your team turn a hypothesis into a study, choose its own participants or scope recruiting, and run interviews concurrently. Your team can revisit a segment or ask a new question without first commissioning another broad advisory workstream.

User Intuition’s AI moderator uses 5–7 levels of adaptive laddering, informed by Reynolds and Gutman’s laddering method (1988). Laddering connects a product attribute to its practical consequences and the personal values behind a decision. For a renewal question, the interview can move from “the product is important” to the last time it was used, what would fail without it and who would authorize a replacement. That produces a more useful account of switching risk than a general statement of satisfaction. See how User Intuition applies laddering.

AlphaSights offers moderated calls through its specialist teams as well as calls that clients conduct themselves. Their value rests on the match between the expert’s experience and the brief. User Intuition combines an experience-based recruiting brief with an adaptive moderator, so each participant is asked to explain the decisions relevant to the hypothesis.

A diligence team may need current users, former users, budget owners and buyers who selected a competitor. Each group can test a different part of the investment thesis. User Intuition lets your team make those criteria explicit before launching, using B2B recruitment where specialist sourcing is needed.

AlphaSights’ services include expert calls, surveys, research and deal advisers. That wider service model can help when a team needs both category expertise and customer perspectives. User Intuition is useful for the customer workstream when the team wants direct control over question design, budget and follow-up.

User Intuition can field several customer segments in parallel. Your team can review emerging findings, identify a missing buyer role and prepare a focused follow-up while other interviews continue. For a hard-to-reach enterprise audience, allow time for qualifying and recruiting the right participants.

AlphaSights sources relevant experts and coordinates availability for calls or other engagements. Its client platform supports scheduling and post-call clarification. User Intuition removes the moderator’s calendar from interview execution, while the recruiting requirements still determine how quickly the audience can be reached.

User Intuition charges $30 per quality voice interview for moderation and analysis. Standard panel recruitment adds $30 per participant. Incentives you arrange for your own participants are separate; specialist audiences require a recruiting quote. The published pricing lets research teams and agencies budget a focused study before committing to a broader program.

Fifty User Intuition quality voice interviews cost $1,500 in platform fees with your own participants, or $3,000 with standard panel recruitment. Specialist recruiting is quoted separately. AlphaSights’ client engagement covers the selected expert services; request terms for the specific profiles, call duration and advisory support. An expert call and a standard-panel interview have different sourcing costs.

User Intuition checks whether the conversation lasted long enough to address the brief, explored the participant’s experience in depth and covered the research topics. This makes the bill depend on the substance of the interview, giving your team a clearer basis for accepting work and planning the next study.

AlphaSights qualifies experts for relevance and runs compliance processes around its engagements. Its commercial terms govern unsuitable calls or replacement work. User Intuition makes Length, Depth and Coverage automatic interview billing checks, in addition to the research team’s choice of audience.

User Intuition assesses the relevant experience, depth, variation and competing explanations in the interviews. A strong account from one role can leave another role’s decision unresolved. User Intuition reviews the relevant experiences and competing explanations before recommending more research. For a growth thesis, the next step is to interview buyers who evaluated expansion and declined, rather than collect more general satisfaction interviews. Recommendations prioritize the gaps with the greatest consequence for the research purpose, so the next step addresses the decision your team must make.

User Intuition’s evidence review is informed by Malterud et al.’s information power framework, which relates sample adequacy to the relevant information interviews provide, and Hennink et al.’s saturation research, which distinguishes identifying a theme from understanding its meaning. User Intuition applies these principles to decide whether a gap calls for deeper analysis of existing interviews or a targeted study with people whose experiences are missing.

For example, if current users describe high day-to-day value but a budget owner rejects expansion, User Intuition can recommend a study of recent expansion decisions across the relevant buying roles. The brief would examine what triggered evaluation, who controlled the budget and which constraints changed the outcome. Explore the shopper study and sample presentation for a worked example of evidence review and follow-up planning.

User Intuition’s agent research workflow connects planning and execution. For example, ask an assistant to investigate whether customer concentration creates renewal risk. It can find existing interviews, identify missing customer roles and prepare a targeted study with a recruiting estimate. Your team reviews the plan and approves spending; the assistant can monitor progress and return findings linked to source interview moments.

AlphaSights’ platform provides expert research, transcripts, AI call summaries and conversational access through AlphaGPT. User Intuition’s agent workflow explicitly connects research retrieval with preparation and approved launch of new interviews.

User Intuition’s synthetic participants preserve individual experiences and behavioral differences that generic LLM feedback can flatten. For example, a team can explore how switching effort, internal influence and risk tolerance could affect a renewal conversation, then use that preparation to define the buying roles and recent decisions the human study should investigate. Calibration uses the differences between modeled and real responses to refine the representation of each person.

This design is informed by Park et al. (2024). Using interviews with 1,052 people, the researchers built simulations that reproduced General Social Survey answers 85% as accurately as those people reproduced their own answers two weeks later. The useful principle is individual grounding paired with measurement against the person represented. See how User Intuition grounds and calibrates synthetic participants.