Organize the user's own resume, project, and activity facts into STAR experience cards awaiting confirmation.
Many job-seekers start writing at the deadline, scrambling to dredge up that internship, club activity, part-time job, or research from memory — only to flatten it into a hollow "I worked hard and learned a lot," with the context, action, and outcome all blurred together. That vagueness is spotted instantly in ES screening, resume self-PR, and interview probing, turning an experience that could have scored points into empty filler. What truly holds up is breaking each experience into the four STAR elements, tagging the skills, and banking it as a library you can draw on anytime.
The recruiter wasn't there — they don't know how big that company was, how many people in that club, what made that project hard. Set the context and your role in a line or two first, so the action that follows carries weight. Without it, even a great result floats untethered.
"Wanting the event to succeed" is a wish, not a task. Narrow it to a real obstacle: too few hands, weak turnout, messy data. The more concrete the task, the more your action reads as solving a problem rather than merely taking part.
An ES asks what YOU did. Carve your own judgment and the steps you led out of "we all worked hard together." If you can't name your share, the recruiter assumes you just rode along on the current.
"Improved a lot" is far weaker than "from 50 meals a month to 200." Go back to the real data — headcount, amount, percentage, rank. Even one number transforms how credible the whole experience reads.
The experience isn't the endpoint; the recruiter wants to see whether you can extract transferable judgment from it. One honest reflection — what you'd do better next time — signals more maturity than any polished adjective.
Coordination, problem-finding, leadership — tags only count when they square with the facts of the experience, not when piled on at random. A mismatched tag collapses fastest under interview probing: you claim leadership but can't say whom you led.
Paste your loose experience passages, or upload a screenshot or PDF of your resume, CV, or an old ES. The tool reads the text in the attachment, so you do not have to transcribe it first.
The tool finds one to five experiences worth developing from your source, then separates each into situation, task, action and result, with a learning point and ability tags.
Any element with no evidence in your text is left honestly blank, never fabricated; numbers must come from the material you provided — closing off the cracks that interview probing would otherwise expose.
Finished cards are saved ranked by job-hunting relevance, so when you later write an ES, fill a resume, draft motivations, prep for interviews, or check role fit, you can simply select and reuse them — no recalling from scratch each time.
Build the material base once so each company does not start from zero.
Organize the user's own resume, project, and activity facts into STAR experience cards awaiting confirmation.
It does not verify facts, confirm numbers for the user, or submit an ES.
STAR structure, traceable facts, and numeric boundaries are present. It still needs adapting to each actual question.
I interviewed 12 new students, combined three sign-up forms into one bilingual form, then reviewed the two-week record of 84 completions, a 61%→87% completion-rate change, and staff checking time of 8→3 minutes per person.
You may say: 12 new-student interviews, 84 completed sign-ups after two weeks, a 61%→87% completion-rate change, and staff checking time of 8→3 minutes per person. Before submission, confirm the denominator and period for 61%/87%, the scope behind 84 people, and how 8→3 minutes was timed. Do not turn 61%→87% into “26% growth” or “42.6% improvement,” call 84 people the total number of sign-ups, or call per-person staff checking time user handling time or total team hours.
What are the denominator, period, and calculation method for 61% and 87%, and do they use the same definition? A same-definition denominator and period before/after the change, with the calculation or source record.
Which sign-up cohort does the 84 represent, and where are the total and original record? The cohort, total, completion summary, or a retrievable list/form.
How were 8→3 minutes timed: how many observations, by whom, and against the same steps? Timing steps, number of observations, recorder, and the same work scope before/after.
Do not claim long-term retention, satisfaction, business impact, or attribute the whole process result to the individual.
Next, produce a numeric-scope checklist and a personal-contribution boundary note. Before submission, confirm denominators, periods, and timing methods. Until then, use only the recorded two-week process result and do not claim long-term impact or sole personal causation.
Evidence-safe cards are preselected. Correct or uncheck anything you need, then confirm once to save them.