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Case study · University pilot

University of Porto pilot: A 30-day soft skills story

By WiseWorldUniversity of Porto pilot · July 2025 · 1 month

University of Porto students practicing soft skills with WiseWorld

In July 2025, we partnered with the University of Porto to ask a simple question: can an AI-powered platform get students to practice - and improve - their soft skills, every single day? Seven students. One month. Numbers that surprised us.

Episodes
63

AI scenarios built on the fly

Interactions
421

Conversations with AI characters

Skills assessed
880

Soft-skill data points captured

Learning hints
295

AI nudges toward each student's goals

Avg. time / student
98 min

20× a single day's target

The story behind the data

The question we wanted to answer

Will university students - an autonomous, exam-pressured audience - actually show up, day after day, to practice their soft skills if it's short, AI-driven, and entirely self-directed?

Soft skills are the #1 predictor of career success - and the hardest thing for a university to teach at scale. We wanted to know if the right format could finally make voluntary practice stick across faculties.

What happened

Seven students showed up - and stayed. They built a daily habit, practiced across multiple faculties, and produced enough data for the university to act on.

  • 63 AI episodes built on the fly

  • 421 real-time conversations with AI characters

  • 880 soft-skill assessments across 44 skills

  • 1 h 38 min average per student - 20× a single day's target

The next sections show how each of those numbers came to be.

All numbers in this story are aggregated across active participants. Student names are anonymized - no individual identifiers or personal data are shared.

How we set it up

A small, mixed cohort. Students from multiple faculties, no prior exposure to the platform, and complete autonomy over what they worked on.

Pilot at a glance

Start
July 2nd, 2025
Duration
1 month
Cohort
13 invited · 7 active

How it ran

Daily goal
5 minutes / day
Mechanic
AI-led simulations
Pace
Self-directed

What we measured

Engagement
Episodes & dialogues
Skills
44 soft skills assessed
Goals
Self-declared learning goals

Engagement in numbers

Seven students. One month. The numbers that came out of this small group surprised us - and they tell a clear story about what happens when soft-skills practice fits into student life.

Episodes created
63

Each one a unique simulation built on the fly for the student.

Real-time interactions
421

Conversations students had with AI characters inside episodes.

Skills evaluated
880

Soft-skill data points assessed across student interactions.

Learning hints
295

AI-powered nudges, personalized to each student's goals.

Time per student
1 h 38 min

Average - roughly 20× a single day's 5-minute target.

Skills coverage
44

Distinct soft skills tracked across 6 categories.

What that means in plain terms: on average, every interaction produced more than two distinct soft-skill assessments. Practice wasn't cosmetic - every conversation generated learning data students and the university could see and act on.

Building a daily habit

Most learning tools see a steep drop-off after week one. Ours didn't. Across the 30-day window, cumulative engagement grew on more than 80% of pilot days - the kind of consistency that actually moves the needle on skills.

Cumulative engagement curve

Day 1Day 30

Illustrative shape from anonymized aggregate engagement.

80%+ growth days

On 4 days out of every 5, the cohort added more practice than the day before - the inverse of the typical learning-app curve.

Voluntary continuity

No grades. No reminders. Students returned because the format fit into their day - and the progress was visible.

Making skills visible

Every interaction fed back into a personal skill profile spanning 44 skills across 6 categories. Across the pilot, students built measurable strength in cognitive abilities and communication - exactly the areas employers ask universities to develop.

Cognitive Abilities

Reasoning, learning, critical thinking

Communication

Listening, persuasion, expression

Teamwork

Collaboration, coordination, sharing

Problem Solving

Decision making, analytical thinking

Work Ethic

Dependability, resilience, focus

Leadership

Coaching, accountability, autonomy

  • Replaces vague self-assessment with concrete, visual data
  • Each student owns their own wheel - privacy stays with the individual
  • Universities see aggregated patterns, never individual scores
  • Gives career services and faculty a shared language for soft skills
LowFairStrongPeakCollaborationCooperationCoordinationTeamDevelopmentTimeSharingActiveListeningBuildingRelationshipsConflictResolutionEmpathyExternalRelationsNegotiationPersuasionPublicInteractionServiceOrientationSocialPerceptivenessWrittenExpressionActiveLearningCriticalThinkingDeductiveReasoningFlexibilityFluency ofIdeasInductiveReasoningLearningStrategiesAttention toDetailDependabilityPersistenceResilienceTaskMasteryTimeManagementAnalyticalThinkingCreativeThinkingDecisionMakingDecisiveJudgmentQuantitativeEstimationSystemsEvaluationAccountabilityCoachingConfidenceDecisionAutonomyEnterprisingHealthOversightIndependenceInitiativeObjectiveSetting
  • Teamwork
  • Communication
  • Cognitive Abilities
  • Work Ethic
  • Problem Solving
  • Leadership
Average PowerWheel across the cohort - 44 skills, 6 categories. Aggregated only.

Where cognitive abilities led

When given complete freedom, students concentrated their practice in one area: cognitive abilities. The three skills they built most were the ones that turn raw academic ability into employable judgment.

Cognitive Abilities01
305

skill scores

Deductive Reasoning

Working from principles to conclusions - the everyday muscle behind sound argument and good decisions.

Cognitive Abilities02
276

skill scores

Active Learning

Turning new information into practice immediately - the meta-skill that makes every other skill faster to acquire.

Cognitive Abilities03
186

skill scores

Critical Thinking

Questioning assumptions before they become decisions - the skill employers consistently rank #1 for graduates.

Career & Work

Self-declared learning goal · 4 mentions

Most students arrived asking how to communicate, lead, and decide - the skills that get them hired.

Personal Life & Relationships

Self-declared learning goal · 3 mentions

Soft skills aren't just for the workplace - students used them to navigate their lives outside the lecture hall.

Where engagement ran deepest

The top three students alone generated more than 2,200 skill scores - and the deepest engagement came from faculties you might not expect.

Top performer

Student A

Faculty of Nutrition and Food Sciences

1,029

skill scores

Second

Student B

Faculty of Psychology and Education Sciences

736

skill scores

Third

Student C

Faculty of Psychology and Education Sciences

533

skill scores

Names anonymized for GDPR compliance - only faculty affiliation is retained, with student consent.

Voice of the students

We interviewed students at the end of the pilot. They consistently described three things: feeling their soft skills shift week by week, being able to name the categories they were working on, and noticing the change in how they handled real-world conversations.

Pilot testimonial reel

Recorded with consenting participants · July 2025

Watch on YouTube

They could feel the shift

Week by week, students noticed soft skills changing - not vague growth, specific traits.

They could name the work

Students learned the language of soft skills and applied it to themselves.

It carried into real life

Conversations at home, in study groups, in interviews - all felt different.

A proposal for universities

Why partner with WiseWorld

One platform that gives students a soft-skills profile they can prove, and gives universities the data to guide them.

Soft skills usually live as opinions - on CVs, in references, in self-assessments. WiseWorld turns them into objective, evolving data that benefits both sides of the lecture hall.

For students

A soft-skills profile, with proof, that travels with them from campus to career.

  • Soft skills on a CV - with evidence

    Objective, measurable data students can present alongside their grades - not just adjectives.

  • Confident self-understanding

    Students learn the language of their own soft skills and can talk about them with clarity.

  • Targeted improvement

    See gaps, practice them, and watch the wheel evolve - on the way to a career path that fits.

For universities

Real data on student soft skills - the signal you've never had to guide, support, and measure them.

  • Soft skills as data, not anecdote

    Aggregate views of how skills sit - and shift - across cohorts, faculties, and programmes.

  • See the gap, see the change

    Where students start, where they grow, and where the curriculum could meet them better.

  • Better guidance & decisions

    Career services, faculty, and leadership all working from the same evidence base.

The bottom line: students walk away with a soft-skills profile they can stand behind. Universities walk away with the evidence to guide them. Same platform, both sides win.