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User Flow Training - Optimising Operator Journeys in Robotics

Ref: LIH156
10 people max.
5500€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
5 journées
distanciel

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Learning objectives

  • Master User Flow modelling to optimise human-robot interactions in the enterprise
  • Develop professional, certifiable skills in operator journey mapping
  • Design User Flows adapted to robotic and industrial constraints
  • Implement prototyping tools to test user flows in production
  • Optimise User Flows to reduce human errors in Industry 4.0 factories
  • Evaluate the impact of User Flows on professional training team productivity
  • Integrate User Flows into Qualiopi-certified robotics projects

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

Don't let this gap widen

Why this program matters

  • Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Fouzi Benzidane
Fouzi Benzidane

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1User Flow Fundamentals: Mapping Operator Journeys (Figma, Lucidchart, robotics cases)

Discover advanced User Flow principles applied to industry by modelling interactions between operators and robots using Figma and Lucidchart. Analyse concrete cases from automated factories, create your first HMI journey wireframe, identify typical friction points in PLC environments, and produce a mapping deliverable ready to integrate into a professional project, with practical exercises on real Industry 4.0 data.

Module 2User Flow Analysis: Integrating Robotic Constraints (Miro, Adobe XD, PLC simulations)

Dive into detailed analysis of User Flows for robotic systems. Use Miro to map multi-user flows, integrate PLC controller specifics via Adobe XD simulations, study real errors in industrial production, optimise operator-robot decision loops, collaborate in pairs on a connected factory case study, and validate an interactive prototype with performance metrics, promoting immediate skill development.

Module 3User Flow Prototyping: Advanced Tools for HMI (Axure, Justinmind, user testing)

Build dynamic User Flow prototypes with Axure and Justinmind tailored to robotic HMI interfaces. Simulate workshop emergency scenarios, test with simulated industrial users, measure journey efficiency via heatmaps and analytics, iterate based on feedback to streamline human-machine interactions, produce an exportable deliverable for PLC systems, and integrate certified best practices for rapid professional application.

Module 4User Flow Optimisation: Performance and Scalability (Hotjar, UserTesting, industrial KPIs)

Optimise your User Flows for scalability in robotic production. Deploy Hotjar and UserTesting to validate operator UX, analyse KPIs such as cycle time and error rates, apply A/B testing methods on real PLC cases, reduce bottlenecks in automated flows, collaborate on a full audit of an existing system, and generate an optimisation report with actionable recommendations for the enterprise.

Module 5User Flow Deployment: Integration into Robotics Projects (Tableau, post-mortem, certification)

Master the final deployment of User Flows in Industry 4.0 projects. Integrate them into Tableau dashboards for monitoring, conduct a post-mortem on a complete prototype, prepare integration with PLC controllers via HMI APIs, evaluate business impact with simulated ROI, finalise your certified professional portfolio with deliverables, and receive a personalised action plan to apply these skills in the enterprise immediately upon return.

Evaluation method

  • Daily interactive quizzes on robotic User Flows
  • Practical case studies with expert feedback
  • Final HMI prototyping project evaluated live

Learning method

  • Intensive practice on real Industry 4.0 tools
  • Real cases from robotised factories
  • Personalised feedback in small groups
  • Post-training support for implementation

Methods, materials and delivery

The User Flow Training - Optimising Operator Journeys in Robotics program is delivered onsite or remote (blended-learning, e-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.

The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.

Equipment required

For the smooth delivery of the User Flow Training - Optimising Operator Journeys in Robotics program, the following equipment is required:

  • Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
  • Training environments installed on workstations or accessible online
  • Course materials, hands-on exercises and complementary resources
  • Post-training access to materials and educational resources

For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.

* contact us for remote delivery feasibility** ratio varies depending on the program

Skills assessment methods

Assessment of skills acquired during the User Flow Training - Optimising Operator Journeys in Robotics program is performed through:

  • During training: case studies, hands-on labs and professional scenarios
  • End of training: self-assessment questionnaire and skills evaluation by the trainer
  • After training: completion certificate detailing acquired skills

Program accessibility

Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.

Enrollment terms and lead times

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

Verified reviews

What our learners

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
Our method

Training quality, guaranteed at every step

Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.

Step 1

Rigorous trainer selection

Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.

  • Triple validation: technical, pedagogical, sectoral.
  • Minimum rating 4.8/5 over the last 12 sessions.
Step 2

You meet the trainer beforehand

30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.

  • Live briefing on goals and team context.
  • Veto right — we swap the trainer for free if needed.
Step 3

Content tailored to your context

No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.

  • Hands-on cases drawn from your stack and projects.
  • Program co-written then validated by your team.
Step 4

Continuous quality follow-up

Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.

  • NPS, knowledge quizzes and skills self-assessment.
  • Satisfaction guarantee: fully satisfied or free rework.

A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.

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