Guides
191 guides to help you use methods properly
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User Research
User Interviews
Direct conversations with users to understand behaviours, needs and motivations.
Read guideUser Research
Contextual Interviews
Observing and interviewing users in their real environment to understand how context shapes behaviour.
Read guideUser Research
Stakeholder Interviews
Structured conversations with internal stakeholders to understand goals, assumptions, constraints, and priorities.
Read guideUser Research
Expert Interviews
Conversations with domain specialists to quickly build understanding of complex spaces, risks, and constraints.
Read guideUser Research
Intercept Interviews
Short, in-the-moment conversations with users to capture immediate feedback during a live interaction.
Read guideUser Research
Field Studies
Observing user behaviour in real-world environments to understand how context shapes actions.
Read guideUser Research
Contextual Inquiry
Observing and questioning users in their real environment to understand how work is actually done.
Read guideUser Research
Ethnographic Research
Extended observation in real-world environments to understand behaviour, culture, and context over time.
Read guideUser Research
Diary Studies
Capturing user behaviour, experiences, and context over time through participant-recorded entries.
Read guideUser Research
Longitudinal Studies
Tracking user behaviour and outcomes over time to understand how experiences evolve.
Read guideUser Research
Shadowing
Following users over time to observe how real work unfolds across tasks, interruptions, and decisions.
Read guideUser Research
Observation Studies
Directly observing users to understand how tasks are actually performed in real or controlled environments.
Read guideUser Research
Focus Groups
Moderated group discussions used to explore opinions, reactions, and shared perceptions around a topic or concept.
Read guideUser Research
Co-discovery Sessions
Two participants work through tasks together, revealing collaboration, reasoning, and shared understanding in real time.
Read guideUser Research
Cultural Probes
Open-ended, creative activities used to uncover context, emotion, and unexpected insight into people’s lives.
Read guideUser Research
Mobile Ethnography
Capturing behaviour, context, and experience in real time through participant mobile entries across daily life.
Read guideUser Research
Digital Ethnography
Studying behaviour, interaction, and culture across digital environments over time.
Read guideUser Research
Guerrilla Research
A fast, lightweight way to gather early feedback with minimal setup, time, or cost.
Read guideConversion Optimisation
Funnel Analysis
Tracking how users move through a journey to identify drop-off points and conversion opportunities.
Read guideConversion Optimisation
Path Analysis
Understanding the real routes users take through a product, including loops, backtracking, and unexpected paths.
Read guideConversion Optimisation
Session Replay Analysis
Reviewing recordings of real user sessions to spot friction, hesitation, and usability issues in detail.
Read guideConversion Optimisation
Heatmaps
Visualising aggregated user interaction to see where people click, focus, and scroll on a page.
Read guideConversion Optimisation
Scroll Tracking
Measuring how far users scroll to understand content visibility, drop-off, and page structure performance.
Read guideConversion Optimisation
Click Tracking
Measuring clicks on specific elements to understand engagement, performance, and missed opportunities.
Read guideConversion Optimisation
Rage Click Analysis
Identifying repeated rapid clicks that signal frustration, broken interactions, or confusing UI.
Read guideConversion Optimisation
Error Tracking
Capturing and analysing technical and UX errors to understand failures, impact, and where users are blocked.
Read guideInformation Architecture
Search Log Analysis
Analysing search queries and outcomes to understand user intent, content gaps, and findability issues.
Read guideStrategy
Feature Usage Analysis
Measuring how users adopt, engage with, and return to specific features to understand product value.
Read guideStrategy
Cohort Analysis
Grouping users by shared characteristics to understand retention, engagement, and behaviour over time.
Read guideStrategy
Retention Analysis
Measuring how many users return over time to understand stickiness, drop-off, and long-term value.
Read guideConversion Optimisation
Form Analysis
Measuring field-level behaviour to understand where users struggle, make errors, and abandon forms.
Read guideUser Research
Surveys
Collecting structured feedback at scale to understand user attitudes, sentiment, and self-reported behaviour.
Read guideUser Research
Questionnaires
Collecting standardised responses to measure user perception, benchmark experience, and compare results over time.
Read guideUser Research
Polls
Collecting quick, simple responses to understand immediate sentiment, preference, or direction.
Read guideUser Research
Satisfaction Surveys (CSAT)
Measuring satisfaction at specific moments in the journey to understand how users feel about the experience.
Read guideStrategy
Net Promoter Score (NPS)
Measuring loyalty and advocacy through a standard recommendation question tracked over time.
Read guideUser Research
Customer Effort Score (CES)
Measuring how easy or difficult users find a task to identify friction and simplify key journeys.
Read guideStrategy
Sentiment Analysis
Analysing large volumes of qualitative feedback to understand user perception, emotional tone, and recurring themes.
Read guideStrategy
Brand Perception Studies
Understanding how users perceive a brand through trust, emotion, positioning, and comparison to competitors.
Read guideUser Experience
Usability Testing
Observing users complete tasks to identify usability issues, friction, and barriers to success.
Read guideUser Experience
Unmoderated Usability Testing
Testing tasks without a facilitator to gather fast, scalable usability feedback across more users.
Read guideUser Experience
Moderated Usability Testing
Guided usability sessions that combine observed behaviour with follow-up questions and deeper qualitative insight.
Read guideUser Experience
Remote Usability Testing
Testing with users in their own environment to gather realistic feedback without needing to be in the same room.
Read guideUser Experience
In-person Usability Testing
Running usability sessions in a controlled physical setting to capture detailed behaviour, context, and non-verbal cues.
Read guideUser Experience
Comparative Testing
Comparing two or more options side by side to understand which performs better and why.
Read guideUser Experience
Benchmark Testing
Measuring usability and performance against defined metrics to track improvement over time.
Read guideUser Experience
Prototype Testing
Testing early designs before development to validate ideas, uncover issues, and reduce build risk.
Read guideUser Experience
First-click Testing
Evaluating whether users choose the correct first action so you can improve direction, labels, and navigation clarity.
Read guideUser Experience
Five-second Testing
Measuring what users understand at a glance so you can improve messaging, clarity, and visual hierarchy.
Read guideUser Experience
Cognitive Walkthrough
Stepping through a task from the user perspective to identify learnability issues, unclear actions, and decision points.
Read guideUser Experience
Heuristic Evaluation
Reviewing an interface against recognised usability principles to quickly identify and prioritise usability issues.
Read guideUser Experience
Expert Review
Using experienced judgement to identify friction, risks, and improvement opportunities across a product or journey.
Read guideUser Experience
UX Audit
Combining multiple inputs to assess the overall experience and prioritise what needs to improve.
Read guideUser Experience
Learnability Testing
Assessing how easily new users can understand and start using a product for the first time.
Read guideUser Experience
Findability Testing
Assessing how easily users can locate information, features, or content so navigation and structure can be improved.
Read guideUser Experience
Comprehension Testing
Assessing whether users understand content, messaging, or functionality as intended so meaning is clear and actionable.
Read guideInformation Architecture
Card Sorting
Open, closed and hybrid card sorting compared: how to learn the way users group and label content, and when each variant is the right one.
Read guideInformation Architecture
Tree Testing
Evaluating whether users can find information within a structured hierarchy using labels and structure alone.
Read guideUser Experience
Navigation Testing
Evaluating how easily users move through a live product or prototype so journeys, menus, and pathways can be improved.
Read guideInformation Architecture
Label Testing
Evaluating whether labels and terminology make sense to users so navigation, naming, and findability are clearer.
Read guideInformation Architecture
Taxonomy Design
Creating clear, scalable structures for content, products, and information so organisation and navigation make sense.
Read guideInformation Architecture
Taxonomy Review
Assessing how well an existing taxonomy works so categories, labels, and structure can be improved.
Read guideInformation Architecture
Content Grouping
Organising content into clear clusters so structure, navigation, and taxonomy can be built on a stronger foundation.
Read guideInformation Architecture
Site Map Creation
Defining and visualising structure so hierarchy, relationships, and navigation can be clearly understood and built.
Read guideInformation Architecture
Site Map Validation
Testing whether a proposed structure works for users before design and development so navigation and findability can be refined.
Read guideInformation Architecture
Information Scent Testing
Evaluating whether labels, links, headings, and previews give users enough directional cues to keep moving confidently.
Read guideInformation Architecture
Wayfinding Review
Assessing whether orientation cues and contextual signals help users understand where they are and how to move through a product.
Read guideUser Experience
User Journey Mapping
Visualising the end-to-end user experience so teams can understand pain points, emotions, and opportunities across a full journey.
Read guideUser Experience
Customer Journey Mapping
Visualising the full customer experience across channels so teams can identify gaps, pain points, and opportunities across the lifecycle.
Read guideUser Experience
Experience Mapping
Visualising the broader human experience around a goal so teams can understand context, unmet needs, and opportunities beyond the product.
Read guideUser Experience
Task Analysis
Breaking down a specific task into steps, decisions, and dependencies so complexity can be reduced and workflows improved.
Read guideUser Experience
Hierarchical Task Analysis
Breaking down complex tasks into goals, sub-tasks, and plans so structure, dependencies, and risks are easier to understand.
Read guideUser Experience
Cognitive Task Analysis
Understanding the thinking, judgement, and mental processes behind tasks so systems can better support complex decisions.
Read guideUser Experience
Scenario Mapping
Exploring realistic user situations and contexts so teams can design for real-world behaviour rather than idealised paths.
Read guideUser Experience
Scenario Creation
Creating realistic, research-based user scenarios so design and testing can be grounded in credible real-world use cases.
Read guideStrategy
Job Mapping
Breaking down a job to be done into core stages so unmet needs, constraints, and innovation opportunities become clearer.
Read guideStrategy
Jobs To Be Done Interviews
Understanding why people choose, switch, or abandon products by exploring the motivations and forces behind real decisions.
Read guideStrategy
Goal Analysis
Defining what users are really trying to achieve so products can be shaped around intent, priorities, and real needs.
Read guideUser Experience
Workflow Mapping
Visualising how work moves across people, systems, and touchpoints so bottlenecks, handoffs, and inefficiencies become clearer.
Read guideUser Experience
Process Mapping
Visualising a process step by step so decisions, delays, inefficiencies, and opportunities to simplify become clearer.
Read guideUser Experience
Emotional Journey Mapping
Mapping how users feel across a journey so moments of frustration, confidence, and trust can be understood and improved.
Read guideUser Experience
Pain Point Mapping
Identifying and visualising where users struggle so issues can be prioritised, understood, and fixed more effectively.
Read guideStrategy
Opportunity Mapping
Turning research and pain points into prioritised opportunities so teams can move from insight to action more clearly.
Read guideUser Experience
Service Blueprinting
Mapping the user-facing experience alongside backstage processes, systems, and handoffs so services can be improved end to end.
Read guideStrategy
Ecosystem Mapping
Visualising the wider system around a product or service so dependencies, relationships, risks, and opportunities become clearer.
Read guideStrategy
Stakeholder Mapping
Identifying and organising stakeholders so influence, priorities, relationships, and potential conflicts are clearer.
Read guideUser Experience
Actor Mapping
Identifying the people, roles, and systems involved in an experience so interactions, responsibilities, and dependencies are clearer.
Read guideStrategy
Channel Analysis
Evaluating how channels perform and connect so cross-channel gaps, inconsistencies, and integration opportunities become clearer.
Read guideUser Experience
Touchpoint Mapping
Identifying and visualising every user interaction so touchpoint gaps, inconsistencies, and friction can be improved across the experience.
Read guideUser Experience
Moments of Truth Mapping
Identifying the high-impact moments in a journey so teams can prioritise the interactions that most affect trust, conversion, and drop-off.
Read guideUser Experience
Service Safaris
Experiencing a service first-hand so teams can uncover real-world friction, inconsistencies, and opportunities across the journey.
Read guideUser Experience
End-to-End Journey Testing
Testing complete journeys across steps, touchpoints, and channels so breakdowns, friction, and failures can be found and fixed.
Read guideUser Experience
Co-design Workshops
Bringing users, stakeholders, and teams together to generate ideas, align early, and shape solutions collaboratively.
Read guideUser Experience
Participatory Design
Involving users as active design collaborators so solutions are shaped by real needs, context, and ongoing shared input.
Read guideUser Experience
Design Studios
Running fast, structured sketch-and-critique workshops so teams can explore ideas quickly and align on direction.
Read guideUser Experience
Sketching Sessions
Using quick, low-fidelity sketches to explore multiple design ideas rapidly before committing to a direction.
Read guideUser Experience
Brainwriting
Generating ideas through structured written rounds so participation is balanced, bias is reduced, and concepts improve through iteration.
Read guideUser Experience
Crazy 8s
Using a time-boxed sketching sprint to generate eight ideas in eight minutes and push beyond obvious concepts quickly.
Read guideUser Experience
Ideation Workshops
Running structured collaborative sessions to generate, refine, and prioritise ideas so teams can move from problem to direction quickly.
Read guideUser Experience
Storyboarding
Visualising a user experience as a sequence of moments so teams can understand flow, context, and opportunities before building.
Read guideUser Experience
Bodystorming
Acting out scenarios in context to uncover real-world behaviours, constraints, and interaction issues before building.
Read guideUser Experience
Role Play
Acting out scenarios from different viewpoints to uncover interaction gaps, communication issues, and decision-making friction.
Read guideUser Experience
Paper Prototyping
Testing low-fidelity interface ideas on paper to validate flows and usability quickly before investing in build.
Read guideUser Experience
Low-fidelity Prototyping
Creating simple prototypes to test structure and flow early so teams can iterate quickly before visual polish or build.
Read guideUser Experience
High-fidelity Prototyping
Creating realistic interactive prototypes to validate detailed design decisions, interactions, and readiness before development.
Read guideUser Experience
Clickable Prototype Testing
Testing interactive prototypes with users to validate flows, navigation, and usability before development begins.
Read guideUser Experience
Experience Prototyping
Simulating end-to-end experiences in context to test how digital, physical, and human elements work together.
Read guideUser Experience
Wizard of Oz Testing
Simulating complex system behaviour behind the scenes so user interactions can be tested before expensive development.
Read guideStrategy
Concierge Testing
Delivering a service manually to validate user value and demand before investing in automation or full product build.
Read guideStrategy
Fake Door Testing
Measuring real demand for unbuilt ideas by tracking interactions with realistic entry points before investing in development.
Read guideUser Experience
Smoke Testing
Running a quick, lightweight check of core flows to catch major issues before deeper usability testing or development.
Read guideConversion Optimisation
A/B Testing
A/B, split and multivariate testing compared: how to choose the right online experiment, run it honestly, and read the result.
Read guideConversion Optimisation
Conversion Path Analysis
Analysing the real routes users take before converting to identify successful patterns and friction across non-linear journeys.
Read guideConversion Optimisation
Landing Page Testing
Testing landing page variations to identify what improves conversion, clarity, and engagement for a defined campaign goal.
Read guideConversion Optimisation
CTA Testing
Testing call-to-action wording, placement, and design to improve click-through and conversion on key pages and journeys.
Read guideConversion Optimisation
Trust Signal Testing
Testing credibility elements like reviews, badges, and guarantees to reduce hesitation and improve conversion at decision points.
Read guideConversion Optimisation
Exit Intent Surveys
Capturing feedback at the moment users are about to leave to uncover objections, friction, and missed expectations.
Read guideConversion Optimisation
Abandonment Analysis
Identifying where users abandon key journeys to uncover friction points and improve completion and conversion rates.
Read guideAccessibility
Accessibility Audit
Evaluating interfaces against accessibility standards to identify barriers, prioritise fixes, and improve inclusive usability.
Read guideAccessibility
WCAG Review
Assessing interfaces against WCAG criteria to identify compliance gaps, prioritise remediation, and support accessible usability.
Read guideAccessibility
Screen Reader Testing
Testing with screen readers to identify structural, semantic, and interaction barriers for users with visual impairments.
Read guideAccessibility
Keyboard Navigation Testing
Testing interfaces with keyboard-only interaction to uncover focus, navigation, and accessibility barriers.
Read guideAccessibility
Colour Contrast Testing
Checking contrast ratios across text and UI elements to improve readability, accessibility, and WCAG compliance.
Read guideAccessibility
Assistive Technology Testing
Testing real journeys with assistive technologies to uncover practical usability barriers beyond checklist compliance.
Read guideAccessibility
Inclusive Usability Testing
Testing with diverse participants to uncover exclusion points and improve usability across abilities, contexts, and needs.
Read guideContent
Plain Language Review
Reviewing content for clarity, simplicity, and readability so users can understand and act without confusion.
Read guideContent
Readability Testing
Evaluating reading ease and comprehension to simplify content and improve usability for the target audience.
Read guideContent
Content Audit
Evaluating content quality, relevance, and consistency to identify gaps, remove clutter, and improve content effectiveness.
Read guideContent
Content Inventory
Cataloguing all content assets to create visibility, ownership, and a reliable baseline for audits and optimisation.
Read guideContent
Content Mapping
Mapping content to user needs and journeys to identify gaps, overlaps, and alignment opportunities.
Read guideContent
Content Gap Analysis
Identifying missing or underperforming content to improve user task support and align content with business goals.
Read guideContent
Tone of Voice Testing
Testing how language style and personality are perceived to improve clarity, trust, and engagement.
Read guideContent
Cloze Testing
Measuring comprehension by removing words from content and analysing how accurately users fill the gaps.
Read guideContent
Terminology Testing
Testing labels and product language to ensure terms are clear, recognisable, and consistently understood.
Read guideContent
Microcopy Testing
Testing small, functional text in context to improve clarity, reduce errors, and help users complete tasks confidently.
Read guideContent
Message Testing
Testing notifications and user-facing messages in context to improve comprehension, timing, and actionability.
Read guideResearch
Affinity Mapping
Grouping qualitative observations and ideas to reveal patterns, themes, and actionable insights.
Read guideResearch
Thematic Analysis
Analysing qualitative data to identify meaningful recurring themes and convert them into actionable insights.
Read guideUser Experience
Interaction Audit
Reviewing interactive elements for consistency, predictability, and usability to reduce friction across key flows.
Read guideStrategy
Proto-Personas
Creating assumption-based early user profiles to guide design and prioritise what to validate through research.
Read guideStrategy
Behavioural Segmentation
Grouping users by observed behaviours to tailor experiences, prioritise improvements, and drive data-informed UX decisions.
Read guideResearch
Empathy Mapping
Mapping what users say, think, feel, and do to build shared understanding and design with empathy.
Read guideResearch
Mental Model Mapping
Mapping how users think and reason about a system to align product structure with real expectations.
Read guideStrategy
Jobs To Be Done (JTBD)
Identifying the functional, emotional, and social jobs users need done to guide product and UX decisions.
Read guideStrategy
Kano Analysis
Categorising features by satisfaction impact to prioritise must-haves, performance drivers, and delighters.
Read guideStrategy
Assumption Mapping
Mapping assumptions by certainty and impact to prioritise validation and reduce product and design risk.
Read guideStrategy
Assumption Testing
Testing high-risk assumptions with lightweight experiments to reduce uncertainty and guide product decisions with evidence.
Read guideStrategy
Feature Prioritisation
Ranking features by user value, business value, effort, and risk to focus roadmap delivery on highest-impact outcomes.
Read guideStrategy
RICE Scoring
Scoring initiatives by Reach, Impact, Confidence, and Effort to prioritise roadmap work transparently.
Read guideStrategy
MoSCoW Prioritisation
Categorising work into Must, Should, Could, and Won’t to align scope, trade-offs, and delivery priorities.
Read guideUser Experience
Preference Testing
Comparing options with users to understand which they prefer and why before committing to a direction.
Read guideUser Experience
Visual Hierarchy Testing
Evaluating how users perceive visual importance to improve attention flow, clarity, and task completion.
Read guideUser Experience
First Impression Testing
Testing users’ first-seconds reactions to improve attention, trust, and immediate comprehension.
Read guideUser Experience
UI Consistency Review
Reviewing interface patterns for visual and behavioural consistency to improve clarity, trust, and usability.
Read guideUser Experience
Icon Comprehension Testing
Testing whether users correctly interpret icons so visual cues support clear navigation and action.
Read guideStrategy
Support Ticket Analysis
Analysing support requests to uncover recurring user pain points, prioritise fixes, and reduce product friction.
Read guideStrategy
Call Centre Analysis
Reviewing support calls and related interactions to identify recurring friction, root causes, and UX improvement opportunities.
Read guideStrategy
Sales Call Analysis
Analysing sales conversations to uncover user motivations, objections, and opportunities to improve conversion and UX.
Read guideStrategy
Review Mining
Analysing customer reviews to uncover recurring pain points, sentiment trends, and opportunities for UX and product improvement.
Read guideStrategy
Complaint Analysis
Examining complaints to identify recurring root causes, reduce frustration, and prioritise UX and product improvements.
Read guideStrategy
Social Listening
Monitoring online conversations to uncover sentiment, recurring pain points, and emerging opportunities for UX improvement.
Read guideStrategy
Five Why’s
Using repeated ‘why’ questioning to identify root causes behind recurring UX and product issues.
Read guideArtificial Intelligence
Retrieval-Augmented Generation (RAG)
What retrieval-augmented generation is, how it improves AI accuracy, and what designers and product teams need to know when working with it.
Read guideArtificial Intelligence
Human-in-the-Loop (HITL)
What human-in-the-loop design is, how it reduces risk in AI systems, and what product and UX teams need to consider when deciding where humans belong.
Read guideArtificial Intelligence
Large Language Models (LLMs)
What LLMs are, how they generate responses, and what designers and product people need to understand to work effectively with AI-powered features.
Read guideArtificial Intelligence
Hallucinations
What AI hallucinations are, why they happen, how to spot them, and how to design AI products that account for them.
Read guideArtificial Intelligence
Fine-tuning
What fine-tuning does to an AI model, when it is worth doing, and what product and design teams need to know before commissioning it.
Read guideArtificial Intelligence
System Prompts
What system prompts do, how they define an AI's role and constraints, and what product and design teams need to know when working with them.
Read guideArtificial Intelligence
Context Windows
What a context window is, how it affects AI behaviour across a conversation, and what product and design teams need to account for when building AI features.
Read guideArtificial Intelligence
Tokens and Tokenisation
What tokens are, how tokenisation affects AI behaviour and cost, and what designers and product teams need to know when building AI features.
Read guideArtificial Intelligence
Embeddings
What embeddings do, how they let AI understand meaning rather than match words, and what product teams need to know when working with semantic search or RAG.
Read guideArtificial Intelligence
AI Agents
What AI agents are, how they work, and what product and design teams need to understand when building or evaluating agentic AI features.
Read guideArtificial Intelligence
Prompt Engineering
What prompt engineering involves, how it shapes AI output quality, and what product and design teams need to know to do it well.
Read guideArtificial Intelligence
AI Bias
What AI bias is, where it comes from, how it affects real users, and what designers and product teams should do about it.
Read guideArtificial Intelligence
Foundation Models
What foundation models are, how they differ from traditional software, and what product and design teams need to know when building on top of them.
Read guideArtificial Intelligence
AI Guardrails
What guardrails are, how they stop AI behaving in harmful or off-brand ways, and what product and design teams need to consider when defining them.
Read guideArtificial Intelligence
Multimodal AI
What multimodal AI can process and generate beyond text, how it expands what is possible in product design, and what teams need to consider when using it.
Read guideArtificial Intelligence
Temperature
What temperature controls in AI models, how it affects the range and consistency of responses, and when to adjust it for different product use cases.
Read guideArtificial Intelligence
Training Data
What training data is, how it shapes what an AI model knows and assumes, and what product and design teams need to understand about its role in quality.
Read guideArtificial Intelligence
Reinforcement Learning from Human Feedback (RLHF)
What reinforcement learning from human feedback is, how it makes AI more helpful and appropriate, and what product teams need to know about its role.
Read guideArtificial Intelligence
Vector Databases
What vector databases do, how they enable semantic search and RAG, and what product and design teams need to know when working with AI systems that use them.
Read guideArtificial Intelligence
Inference
What inference is, how it differs from training, and what product and design teams need to understand about its implications for speed, cost, and reliability.
Read guideArtificial Intelligence
Synthetic Data
What synthetic data is, how it is generated, and what product and design teams need to know about its role in training, testing, and evaluation.
Read guideArtificial Intelligence
AI Transparency
What transparency in AI products involves, why users need to know when they are using AI, and how to design honest, clear communication about AI use.
Read guideArtificial Intelligence
Prompt Injection
What prompt injection attacks are, how they work, and what product and design teams need to understand to protect AI features against them.
Read guideArtificial Intelligence
Zero-shot and Few-shot Learning
What zero-shot and few-shot learning are, how they affect AI output quality, and how product teams can use them to improve results without deep technical work.
Read guideArtificial Intelligence
Model Evaluation
What model evaluation involves, how to assess whether an AI model works for your use case, and what product teams need to contribute effectively.
Read guideArtificial Intelligence
AI Latency
What latency means in AI systems, how it affects user experience, and what product and design teams can do to manage it effectively.
Read guideArtificial Intelligence
AI Safety and Alignment
What AI safety and alignment involve, why they are not just researcher concerns, and what product and design teams need to know to build responsibly with AI.
Read guideArtificial Intelligence
Neural Networks
What neural networks are, how they relate to modern AI, and what product and design teams need to know without needing to understand the mathematics.
Read guideArtificial Intelligence
Chain-of-Thought Prompting
What chain-of-thought prompting does, when it helps, and how product and design teams can use it to get more reliable outputs from AI on complex tasks.
Read guide
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I had a fantastic experience working with Andy. One of his most impressive achievements during our time at NHS HEE was masterminding a deeply complex information architecture for a new platform that brought together a large number of legacy websites.
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Senior Content Designer