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For all queries in regards to these Training Courses please contact the following :-

Katie Gilchrist

katie.gilchrist@ucl.ac.uk

PLEASE ONLY CONTACT THE ONLINE STORE DIRECTLY IF YOU ARE EXPERIENCING PROBLEMS WITH YOUR DEBIT/CREDIT CARD PAYMENT, FOR ALL OTHER QUERIES RELATING TO THESE TRAINING COURSES, INCLUDING CANCELLATIONS THESE SHOULD BE DIRECTED TO THE CONTACT DETAILS ABOVE.

More Information

The RREAL training programme delivers 8 online courses:

12 September 2025: 10:00-13:00: Introduction to Rapid Qualitative Research and Evaluation

An introduction to the range of approaches used in rapid qualitative research including rapid appraisals, rapid ethnographic assessments (REAs), rapid qualitative inquiry (RQI), rapid evaluations and rapid ethnographies. Course participants will work with real research cases and design their own rapid study. Additional resources will also be provided at the end of the course. Delivered by Prof Cecilia Vindrola.

Who should register? Researchers and professionals new to rapid research methods.

19 September 2025: 10:00-12:00: Introduction to Rapid Ethnography

This course provides an introduction to a wide range of approaches used in rapid research with a focus on rapid ethnography. The course provides an overview of rapid ethnographies conducted as a “lone researcher” or as part of a team and includes examples of quick, short-term, focused and rapid ethnographies. Additional resources will also be provided at the end of the course. Delivered by Prof Cecilia Vindrola.  

Who should register? Researchers and professionals new to rapid research methods.

10 October 2025: 10:00-11:00: Introduction to RREAL Sheets

An introduction to RREAL Sheets used in rapid qualitative research methods to collect and synthesise data as these are being collected. In this one-hour course, participants will work with real research cases to develop their own RREAL sheet. They will learn the different stages of design, use and frequent adaptations. Course participants will work with real research cases and design their own rapid study. Additional resources will also be provided at the end of the course. Delivered by Prof Cecilia Vindrola.

Who should register? Researchers and professionals new to rapid research methods.

16 October 2025 11:00-14:00: Rapid Qualitative Data Analysis

This course focuses on the analysis stage of rapid research. It covers strategies to prepare for efficient analysis, analysis method options, a step-by-step guide of Collaborative Matrix Analysis (CMA), and considerations around validity, triangulation, member checking and reliability. We cover techniques used to rapidly analyse qualitative data. We begin with a brief overview of the iterative nature of rapid qualitative research and the analysis of data as data collection is ongoing. We also discuss strategies that are commonly used to bypass or speed up transcription and the adaptation of data analysis methods for rapid study timeframes (i.e. rapid content analysis, and table-based methods). Delivered by Dr. Norha Vera San Juan.

Who should register? Experienced participants with previous rapid qualitative research experience or those who have already attended our introductory courses.

17 October 2025: 10:00-12:00: Introduction to Big Qualitative Data Methods

An introduction to the analysis of using big qualitative data methods to analyse social media data for public health research including: analysis of TikTok, Twitter (hashtags and emojis) and YouTube data (transcripts and comments). It also discusses considerations of ethics, data anonymisation, and how tag social media data for more in-depth iterative qualitative analysis of sample data. Examples of topics/datasets are social media discussions regarding vaccine hesitancy, Long Covid, and patient safety. Delivered by Dr Sam Martin.

Who should register? Researchers and professionals new to Big Qualitative Data research methods.

24 October 2025 11:30-13:30: Rapid Evidence and Policy Reviews

Overview of Rapid Evidence Review methods, RREAL's approach to increasing impact and efficiency when conducting Rapid Evidence Reviews, potential software that can be used, and an introduction to Systematic Collaborative Policy Reviews. These are methods ideal to inform evidence-based decision-making. Course participants will work with real research cases and design their own rapid study. Additional resources will also be provided at the end of the course. Delivered by Dr Norha Vera San Juan.

Who should register? This course is suggested for attendees with some knowledge about systematic reviews.

07 November 2025 10:00-12:00: Intermediate Big Qualitative Data Methods

This course focuses on the sentiment, discourse analysis and visualisation stage of big qualitative methods in research. It covers strategies to create context specific sentiment analysis frameworks, and understanding of co-occurrence cluster and hashtag analysis, and a step-by-step guide of how to visualise big qualitative research data for publication. Delivered by Dr Sam Martin.

Who should register? This course is suggested for participants with previous big qualitative data research experience or those who have already attended our introductory big qualitative data course.

14 November 2025 10:00-13:00: Scoping Studies in Rapid Research and Evaluation

Rapid qualitative studies often require an initial period of data collection or review of existing evidence to inform the study design and its scope. This initial period is commonly referred to as a “scoping study”.  In this short course, we will briefly describe the benefits and key features of scoping studies carried out in the context of rapid research. We will discuss different types of scoping activities such as: rapid literature reviews or evidence syntheses, informal conversations with stakeholders, observations, documentary analysis and scoping workshops. We will use real world examples to demonstrate

For additional information on the courses, including course objectives and content outline, please visit the RREAL website:

https://www.rapidresearchandevaluation.com/training