Social engineering and grooming techniques connected to scams
Persuasion techniques
Errors in judgment
Individual characteristics (e.g, circumstances) and personality factors influencing scam compliance
Scam communication analysis and breakdown
e.g., analysis of scam messages to identify techniques and manipulation
Scam prevention education
e.g., workshops, infographics, campaigns etc.
Concept testing
User and customer interviews (remote and in-person)
Contextual inquiry and field studies
UX audits (various methodologies)
Usability testing (moderated and unmoderated)
Ethnographic and behavioral observation
Diary studies
Affinity mapping
Product and marketing strategy
Persona creation (research led, tailored to your specifics)
Customer mapping
Identifying user needs, pain points and mental models
Gap analysis
In product feedback strategy
Data triangulation
e.g., mapping various data points (customer reviews, in product feedback, field info) into coherent reports
Buyer and user journeys
UX benchmarking and metrics
Competitive analyses (observational and user led)
UX audits and user testing of AI chat bots and models
e.g., evaluation of accuracy, desired tone, applicability of information and visual representation, as well as explorations of user expectations and prompting techniques
Prompt engineering for large language models (LLMs)
Designing and iterating system, developer, and user prompts
Using LLMs to simulate user behavior and decision patterns
Synthetic data generation for edge cases and rare scenarios
Validation and limitation analysis of synthetic personas
Thematic analysis
Discursive psychology
Survey design and development
Survey analysis (descriptive stats, significance, trends)
Scale construction
A/B test interpretation (often in collaboration with data teams)
Informed consent
Research governance and compliance
Bias awareness and inclusive research practices
Participant recruitment and screening
Vendor and panel management
Tool proficiency (e.g., interview platforms, survey tools, usability testing software)
Time and project management across multiple studies
