1. Extract
Use AI-assisted conversation and structured coaching to explore the participant’s real work, education, hobbies, projects, volunteering, caring responsibilities and life experiences.
Experience to Evidence
Your experience is worth more than you think.
Experience to Evidence is one-to-one employment coaching for people who struggle to articulate their skills, whether they are entering the workforce, changing careers, bringing overseas experience to Australia, or have decades of professional experience behind them.
It uses AI-assisted conversation to uncover transferable skills and turn real experience into evidence employers understand. Developed through the delivery of Employability Skills Training (EST), Certificate I in Workplace Skills and practical one-to-one coaching with job seekers.
Nothing is invented. We uncover the evidence that is already there.
- Experience
- AI-assisted exploration
- Transferable skills
- Employment evidence
- Applications & interviews
Being capable is not the same as being able to explain what you can do.
The problem is not always a lack of experience. Sometimes the problem is being unable to see, organise or explain the experience you already have.
We do not start with your resume. We start with you.
People often struggle to:
- identify transferable skills
- know what experience is relevant
- write about their achievements
- provide examples in interviews
- recognise that experience outside formal employment can still demonstrate useful skills
- remember suitable examples under pressure
From experience to evidence
Four stages. The participant validates the outputs. AI can suggest patterns and possible skills. The participant and coach confirm what is accurate.
2. Translate
Identify the transferable skills demonstrated by those experiences.
3. Evidence
Turn experiences into clear, reusable examples, including STAR-style examples and an evidence bank.
4. Apply
Use that evidence in resumes, cover letters, applications, selection criteria and interview preparation.
Audience
Who this is for
Experience to Evidence is not just for people entering the workforce. Many experienced people struggle to explain what they know, how they work, or why their experience is valuable to a new employer.
You do not need to be inexperienced to struggle with employment language.
Sometimes the challenge is not having too little experience. Sometimes it is having years of experience and not knowing how to translate it into a clear answer.
The service can be useful for:
- young people entering the workforce
- job seekers with little formal employment history
- experienced candidates who struggle to articulate their knowledge
- career changers trying to explain how existing skills transfer into a new industry
- migrants and internationally experienced professionals translating overseas experience into language Australian employers understand
- people returning to work after time away
- technical specialists who are highly capable but struggle to explain their work in interviews
- people who have worked in the same organisation or industry for many years and have not had to apply for a job recently
- candidates who know their work well but struggle with behavioural interview questions
- people whose strongest skills come from practical experience rather than formal qualifications
For experienced candidates
AI-assisted conversation can help draw out:
- tacit knowledge
- technical judgement
- decision making
- leadership
- stakeholder management
- problem solving
- lessons learned
- complex project experience
- examples of handling difficult situations
- achievements that have become so routine they no longer feel significant
An experienced systems administrator might say:
“I just looked after the environment.”
Through structured questioning, this could uncover evidence involving:
- incident response
- change management
- risk assessment
- vendor coordination
- stakeholder communication
- troubleshooting
- prioritisation
- documentation
- mentoring
- service improvement
The point is not to exaggerate the experience. The point is to uncover the depth that is already there.
For migrants and internationally experienced candidates
Experience gained overseas is still experience.
The challenge can be translating job titles, responsibilities, qualifications and workplace practices into language that makes sense to Australian employers.
AI-assisted exploration can help identify the underlying transferable skills and evidence without diminishing the value of the person’s original experience.
The aim is not to make experience more “Australian”. The aim is to make existing experience easier for Australian employers to understand.
Your evidence does not have to come from a job.
Transferable skills can come from work, study, caring, volunteering, projects and everyday problem solving. Skills are only claimed when they are supported by the person’s actual experience.
Building or upgrading a computer
Possible evidence
research, troubleshooting, planning, budgeting, technical skills, independent learning
Helping family members with technology
Possible evidence
communication, patience, problem solving, customer support
School project
Possible evidence
research, teamwork, deadlines, presentation, planning
Gaming with a team
Possible evidence
communication, teamwork, decision making, planning
Caring responsibilities
Possible evidence
organisation, communication, prioritisation, responsibility
Sport
Possible evidence
teamwork, discipline, resilience, coaching
Volunteering
Possible evidence
initiative, communication, reliability, community engagement
Hobby project
Possible evidence
self-directed learning, persistence, planning, problem solving
Organising an event
Possible evidence
planning, budgeting, coordination, communication
Worked example
A participant might say:
“I have not really done anything. I just built my own computer.”
Explored further, they researched compatible components, compared options against a budget, assembled the computer, diagnosed a startup issue and found a solution.
Possible transferable skills:
- Research
- Planning
- Budgeting
- Technical capability
- Troubleshooting
- Problem solving
- Independent learning
AI does not invent your skills. It helps uncover them.
Conversational AI is used as an exploration and questioning tool. It often uncovers useful evidence from experiences the participant had previously dismissed as unimportant.
- What happened?
- What did you do?
- Why did you make that decision?
- What went wrong?
- How did you fix it?
- Who did you work with?
- What was the result?
- What would you do differently?
The goal is not for AI to speak for you. The goal is to help you explain yourself better.
Developed with job seekers
Experience to Evidence grew from real delivery of Employability Skills Training (EST), Certificate I in Workplace Skills, IT training and one-to-one employment coaching.
While delivering employment and vocational training, I repeatedly saw job seekers say they had “no experience”. Once we explored what they had actually done, the picture was very different.
People had evidence from school, hobbies, technology, caring, volunteering, projects, sport and everyday responsibilities. I began using conversational AI to explore those experiences more deeply and systematically.
The approach has been tested in practical delivery, used with real job seekers, and refined through one-to-one coaching.
Start with the experience you already have.
See how the process works, or look at an anonymised case study from practical coaching.