Data Collection
Overview
Covers AI tools and features that support primary research data collection — surveys, participant recruitment, interviews, observations, and experimental data capture. AI enhancements in this area focus on making data collection more efficient, adaptive, and insightful.
Disambiguation:
data-collection— gathering primary data from participants or the world. Tools here.knowledge-bases— organising, connecting, and retrieving existing knowledge; building queryable stores for AI. See knowledge-bases.research-data-management— storing and preserving research outputs compliantly. See research-data-management.automatic-transcription— processing recorded audio/video into text (downstream of interviews). See automatic-transcription.data-analysis— analysing data after collection. See data-analysis.
Tools in this area
| Tool | Vendor | Maturity | Status | Cost (GBP/yr) |
|---|---|---|---|---|
| qualtrics | Qualtrics (SAP) | production-ready | adopt | unknown |
Landscape notes
Immediate opportunity: qualtrics is already institutionally licensed and represents the most impactful near-term AI upgrade in this area. The Conversational Feedback AI feature reportedly shortens surveys by up to 60% while yielding richer qualitative insights. The upgrade requires a contract amendment — recommend IT Services and Research Support to investigate.
AI survey tools are the most mature sub-category here. Adaptive questioning, automated follow-ups, and real-time text analysis are now available in established platforms.
Gap: AI support for non-survey data collection (observational research, ethnographic fieldwork, experimental data capture) is not yet a distinct product category.
Related capability areas
data-analysis · qualitative-coding · automatic-transcription
Sprint history
- 2026-03-04: Initial population from Q1 2026 AI Landscape Map
Navigation
All capability areas: Ideation and Grant Writing · Literature Review · Hypothesis Generation · Data Collection · Automatic Transcription · Autonomous Laboratories · Data Analysis · Scholarly Writing · Qualitative Coding · Knowledge Bases · Research Data Management