AAgentic Design School
Course
Intermediate
Available

Agentic Design Research

Research is where agents quietly do their best design work: gathering, structuring, and synthesising evidence at a scale a single researcher cannot, while the researcher keeps ownership of questions, interpretation, and ethics. This course covers research packets as the unit of agentic research, deep desk research and competitive teardowns, synthesis across interviews and tickets, surveys, experiments and funnel diagnosis, journey maps and service blueprints generated from product data, and the step most research decks skip: turning insight into briefs that change what gets built.

Modules6 modules

Last updated2026-06-02

Who it is for

Audience and outcomes

UX researchers, product designers who carry research as part of their role, and design leads who need evidence to move faster without becoming shallower.

By the end of this course you can
  • Structure research as packets — question, sources, method, findings, evidence — that agents can build and humans can audit.
  • Run deep desk research and competitive teardowns that cite their sources and separate observation from inference.
  • Synthesise interviews, support tickets, and open-text feedback into themes with traceable evidence.
  • Use agents for survey design, experiment readouts, and funnel diagnosis without laundering weak data into confident claims.
  • Generate journey maps and service blueprints from product data and keep them current.
  • Convert findings into design briefs so research changes what gets built rather than what gets presented.
Curriculum

Modules

Modules marked Available have full slide decks with speaker notes and narration scripts. The rest show their planned outline until production catches up.

1

Research Packets

Available
35–45 minutes

The unit of agentic research: a packet that holds the question, the sources, the method, the findings, and the evidence trail — built by an agent, auditable by a human, and reusable as briefing input for design work.

  • Structure a research packet so the question, method, and evidence are inspectable.
  • Decide which research activities agents do well and which corrupt without human contact.
  • Set source and citation standards before the first packet is built.
Open module 1
2

Deep Design Research and Competitive Teardowns

Available
45–55 minutes

Desk research and competitive analysis run at agent scale: structured teardowns of competitor flows, pattern surveys across a category, and the discipline that separates what was observed from what is being inferred.

  • Scope a deep research run so breadth does not become unfocused accumulation.
  • Run competitive teardowns that capture flows, patterns, and trade-offs with screenshots.
  • Keep observation, inference, and recommendation visibly separate in the output.
Open module 2
3

Research Synthesis with Agents

Available
45–55 minutes

Synthesis across interviews, support tickets, reviews, and open-text feedback: theming with traceable evidence, contradiction-hunting, and the human interpretation pass that decides what the themes mean.

  • Prepare qualitative data so an agent can theme it without flattening nuance.
  • Require every theme to trace back to specific quotes and sources.
  • Run the human interpretation pass: what the themes mean and what to do about them.
Open module 3
4

Surveys, Experiments, and Funnel Diagnosis

Available
45–55 minutes

Quantitative work where agents help with design and analysis but cannot supply rigour: writing surveys that do not lead, reading experiment results without inventing significance, and diagnosing funnel drop-off with hypotheses tied to evidence.

  • Use agents to draft and critique survey instruments against known bias patterns.
  • Read experiment results with an agent without overstating what the data supports.
  • Run funnel and drop-off diagnosis that produces ranked, testable hypotheses.
Open module 4
5

Journey Maps and Service Blueprints from Product Data

Available
40–50 minutes

Journey maps and blueprints built from what the product actually records — events, tickets, session paths — rather than workshop recollection, and kept current by re-running the generation instead of redrawing the poster.

  • Generate journey maps from event and support data with the gaps marked honestly.
  • Extend journeys into service blueprints covering front-stage and back-stage steps.
  • Keep maps current as living artifacts rather than one-off workshop posters.
Open module 5
6

From Insight to Brief

Available
35–45 minutes

The step that determines whether research mattered: converting findings into design briefs with the evidence attached, prioritising what to act on, and closing the loop so the next research question comes from what shipped.

  • Convert a research finding into a design brief that carries the evidence with it.
  • Prioritise findings by decision impact rather than by how interesting they are.
  • Close the loop: track what shipped because of the research and what it changed.
Open module 6
Related material

Books and articles behind this course

The course teaches the practice; the books and articles carry the depth, the sources, and the worked runs it draws on.

The Agentic Designer cover
Curriculum
The Agentic Designer
How AI agents are transforming product design.

The operating model for product designers, design leads, and builders who need to understand what changes when agents join design work.

  • Brief an Agent Like a Design Partner

    A practical workflow for turning a loose design request into a reviewable agent brief — with a traced run on this site's own field-notes page, real plan-mode guidance for Claude Code, Codex CLI, OpenCode, and Gemini CLI, and the templates to reuse the same day.

  • Research Packets for Agentic Design

    A practical editorial system for turning tool changes, reader questions, screenshots, examples, and experiments into durable agentic-design curriculum.

  • Four Agentic Design Workflows in Production: What Actually Happened

    Four real agentic design workflows traced from their own repositories — an editorial site, a multi-agent book pipeline, a book-to-video pipeline, and the design system underneath the site — with the timelines git can prove, the configs that did the steering, the failures the gates caught, and the patterns that repeat across all four.