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UX research and responsible AI training

Build skills your team can use the next day

Practical, facilitated learning for teams that need to conduct better research, make digital services easier to use or adopt and evaluate AI more responsibly.

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Generic training is easy to forget. Narrata’s workshops are designed around the decisions, tools and constraints participants face in their own work.

Teams learn by practising: framing a research question, improving an interview guide, evaluating a digital journey, testing AI outputs or working through a responsible-use scenario. The aim is not to turn everyone into a specialist. It is to give people enough understanding, structure and confidence to make better choices.

Sessions can stand alone or form part of a capability-building programme that combines training, templates, coaching and applied project work.

Designed for

  • Product and design teams
  • Researchers and insight teams
  • NGO and programme teams
  • Customer experience teams
  • Leaders evaluating AI opportunities
  • Cross-functional teams adopting AI tools

UX research and usability tracks

Build a shared foundation for listening to users, making sense of evidence and communicating what the team should do next.

Research fundamentals

Frame useful research questions, choose an appropriate method and create a plan that connects learning to decisions.

Interviewing and facilitation

Ask neutral questions, listen for meaning, probe effectively and create the conditions for a useful conversation.

Analysis, synthesis and storytelling

Move from notes to credible themes, keep claims connected to evidence and communicate findings clearly.

Usability and accessibility essentials

Recognise common usability problems, run a focused usability test and understand core accessibility considerations.

Survey design

Write clearer questions, choose suitable response options and recognise common sources of bias.

Insight communication and workshops

Turn findings into decision-ready stories and facilitate stakeholders from evidence to action.

Responsible AI and evaluation tracks

Understand where AI may help, where it can fail and how to evaluate an AI-enabled workflow with more discipline.

Executive AI briefing

A practical view of capabilities, limitations, risk and value so leaders can ask better questions before approving an initiative.

AI fundamentals for teams

How generative AI works at a useful level, clearer prompting, safe handling of information and critical review of outputs.

LLM evaluation bootcamp

Define realistic tasks and criteria, build test sets, examine failure modes and use scorecards to make quality visible.

AI interaction review

Evaluate how people understand and use AI search, summaries, recommendations or automated replies—and where trust can break down.

Privacy and data stewardship clinic

Work through consent, retention, human review and data-handling questions in the context of real use cases.

Prompt operations

Create shared prompt patterns, review routines and practical ownership so useful practices do not remain with one person.

Training shaped around real work

  1. Understand the capability gapWe identify what participants need to do differently, their current experience and the organisational constraints around them.
  2. Tailor the cases and exercisesWe adapt examples to your products, services, research questions or AI use cases.
  3. Practise, reflect and improveParticipants work through realistic tasks, compare approaches and receive structured feedback.
  4. Leave with practical toolsRelevant templates, checklists or evaluation structures support application after the session.

Possible formats

  • Executive briefing
  • Half-day or full-day workshop
  • Multi-session learning programme
  • Training plus applied project
  • Team coaching and review
  • In-person or remote delivery

Format, depth and technical detail are adjusted to the participants and the outcome you need.

Questions about training

Do participants need a technical background?

No. Our workshops focus on practical decisions and everyday tasks. Technical depth is adjusted to the roles and experience of the group.

Can the training be tailored to our organisation?

Yes. We can use your products, research questions, AI use cases, policies or evaluation challenges so participants practise with relevant examples.

Can UX research and AI topics be combined?

Yes. For teams building or adopting AI-enabled services, we can combine user-centred research, AI interaction review and practical evaluation in one programme.

What should your team be able to do better?

Tell us the capability you want to build, who is in the room and where the learning needs to show up in everyday work.

Discuss a workshopEmail hello@narrata.co.tz