Question 1

How can we prevent dashboard sprawl while meeting stakeholder needs?

Accepted Answer

To avoid dashboard sprawl while still meeting stakeholder needs, centralize and standardize your reporting: create one flexible dashboard platform that can be customized or filtered for different audiences instead of spinning up separate dashboards for every request. Start by identifying the core metrics and KPIs that most stakeholders need and build a single source of truth around those. Then use features like user-specific filters, interactive selectors, or role-based views to let each stakeholder slice the data to their needs within that unified dashboard. By providing training and easy customization options, you empower teams to get answers from the same dashboard rather than creating new ones. Also implement governance: set clear guidelines for when a new dashboard is truly necessary and regularly audit existing dashboards to prune redundant or outdated ones. This keeps information consolidated and consistent, reducing clutter while ensuring everyone still has access to the insights they care about.

Question 2

Will agentic interviewing give me comparable depth to human moderation?

Accepted Answer

Agentic interviewing (using an AI interviewer) can deliver a good level of depth on structured topics, but it usually doesn't match the nuanced probing of a skilled human moderator. AI-driven agents are very consistent and can ask follow-up questions based on answers, but they might miss subtle emotional cues or opportunities for empathy and improvisation that humans catch. For example, a virtual agent will diligently cover all scripted questions and even some dynamic prompts, yet it might not notice when a respondent hesitates or needs gentle encouragement to elaborate. In practice, many organizations treat AI interviewing as a complement — using it to cover the basics or scale up the number of interviews — while relying on human moderators for deeper exploration and sensitive topics where personal rapport is key.

Question 3

How do AI models with speech & vision capabilities improve video diary analysis?

Accepted Answer

AI models with combined speech and vision capabilities can transform video diary analysis by automatically transcribing what participants say and interpreting their facial expressions or surroundings, making the review process faster and more insightful. For example, an advanced system can generate text transcripts of each diary entry (complete with sentiment analysis of the speech) while simultaneously scanning the video for visual cues - like smiles, frowns, or particular activities - so a researcher can quickly pinpoint key moments, such as when a participant shows frustration using a product or lights up with excitement. This multimodal approach adds depth and consistency to qualitative research: the AI surfaces objective markers (for example, a detected tone shift or facial reaction) that a human observer might miss, allowing the team to spot subtle patterns across many videos without watching every second. In short, these AI tools make analyzing hours of video diaries far more efficient and can uncover nuanced insights by linking what participants say with how they visibly react.

Question 4

Are we missing offline residents with web-only engagement plans?

Accepted Answer

Yes - a web-only engagement plan risks overlooking residents who aren't active online, which can leave gaps in your insights. Certain groups (for example, some seniors, low-income households, or rural residents with limited internet access) may not participate in digital surveys, community platforms, or social media outreach. If you rely solely on online channels, their perspectives go unheard and your findings skew toward the tech-connected population. For instance, a public opinion project done via email and web forums might miss input from people who would respond via mailed surveys or community meetings. To ensure representation, you should blend offline methods into your engagement plan — options like paper questionnaires, telephone interviews, or local in-person sessions can reach those offline residents. By combining online and offline outreach, you capture a more complete and fair picture of the community.

Question 5

How do I design unobtrusive mobile tasks that fit everyday life?

Accepted Answer

The key to designing unobtrusive mobile tasks is to make them seamless and brief, fitting into participants' daily routines so naturally that they hardly feel like extra work. For example, instead of a long questionnaire, use micro-surveys or one-question prompts triggered at relevant moments — asking for a quick photo or comment right after a product purchase, for instance, when the experience is fresh in mind. Tasks should be fully mobile-optimized and flexible on timing, allowing people to respond when convenient, and use phone capabilities (like notifications or location triggers) sparingly and only when context makes it helpful. By keeping interactions short, context-aware, and user-friendly, you ensure the research fits into everyday life and yields authentic insights without burdening participants.

TGM Research

Why choose Us

Features and attributes

What is TGM Research?

Services and Expertise

Market Research FAQs with Expert Insights

How can we prevent dashboard sprawl while meeting stakeholder needs?

Will agentic interviewing give me comparable depth to human moderation?

How do AI models with speech & vision capabilities improve video diary analysis?

Are we missing offline residents with web-only engagement plans?

How do I design unobtrusive mobile tasks that fit everyday life?