DraftApply reviews applications, job descriptions, submitted CV versions, fit assessments, and available outcomes before the session begins.
Your coach receives one evidence-backed view of the candidate's targeting, recurring strengths, repeated gaps, CV strategy, and three next priorities.
The evidence is prepared before the session. The coach keeps the judgment.
A candidate has submitted twelve applications using three CV versions across four types of roles. Two reached interviews, several were rejected.
Before offering useful advice, the coach has to reconstruct the candidate's application strategy from scattered documents—answering three questions first:
DraftApply prepares that analysis before the session begins—and keeps every conclusion traceable to the applications behind it.
A preparation layer for better coaching decisions
One evidence-backed view of the candidate's application strategy across jobs, CV versions, recurring gaps, and available outcomes—ready before the candidate joins.
One Applied AI CV reused across all three role families.
The Applied AI CV was reused for research roles.
The research roles emphasized publications and formal experimentation, while the submitted CV emphasized workflow implementation.
Standardize preparation across the team without forcing every coach into the same final judgment.
The effort is easy to overlook because it feels like normal preparation. But as the team grows, it shows up in three places.
Coaches spend valuable preparation time reconstructing information instead of interpreting it and deciding what the candidate should do next.
Different coaches emphasize different details, so review quality and recommendations depend too heavily on who happens to open the file.
Every additional candidate adds more manual preparation, making capacity harder to increase without adding coaching hours.
Manual preparation limits how many candidates each coach can support. A prepared review changes that.
Coaches begin with a structured review instead of opening every document manually.
A consistent review baseline ensures the same core questions are considered for every candidate, while coaches retain final judgment.
Findings can be traced back to the applications that support them.
Less repetitive preparation creates more capacity for actual coaching work.
A structured evidence layer can also help less experienced coaches prepare cases while senior coaches retain oversight.
Experienced coaches should spend their time applying judgment—not reconstructing information that already exists. DraftApply does not make final career decisions. It does not know which direction the candidate personally values, what trade-offs they'll accept, what experience is missing from the documents, or whether a secondary career track is strategically important.
These decisions remain with the coach and candidate. DraftApply prepares the portfolio, identifies patterns, and makes the evidence easier to review.
Anonymized or synthetic portfolios are supported. Pilot participants agree in advance on what data is provided, how long it is retained, and how it is deleted after evaluation.
Send one anonymized candidate portfolio. We prepare the review and compare it with how your team would assess the same case.
In return, we ask your team to identify what is useful, misleading, missing, or inconsistent with your review process.
For a pilot, DraftApply prepares the review from the candidate materials you provide—no integration or system change required.
Built for career-coaching companies, outplacement providers, employability programmes, and university career services that already receive candidate CVs, applications, and job descriptions but still review them manually.
Every new candidate should add coaching value—not another stack of documents to compare.
Give coaches a structured view of the candidate's application history—so the session can focus on decisions, priorities, and progress.
Evidence-backed candidate portfolio reviews for job coaching teams.