A consultant can have years of hands-on work with a technology and still look unqualified on paper, simply because that technology never made it onto the CV. For a recruiter answering a service request against a deadline, the gap turns into an email chain: which projects, which years, which tools. A candidate skills questionnaire closes that gap by asking the candidate directly, and only about what the job description actually requires.
This post walks through how that workflow runs, why the candidate should be the one answering, how the answers reach the CV with no AI involved, and what it means for teams responding to DIGIT-TM III service requests, where every use of a general-purpose AI model has to be disclosed.
- IT candidates regularly have technical skills they never added to their CV, so the company presenting them has no way of knowing those skills exist.
- A candidate skills questionnaire, built from a job description or service request, asks the candidate to confirm only the skills that are actually in question.
- The link can go out by email, WhatsApp, or any other channel, and the candidate answers it personally.
- Candidates arrive at the interview comfortable with what their CV says, because they confirmed it themselves.
- Submitted answers update the candidate’s profile immediately, replacing the back-and-forth of emails about projects, dates, and experience.
- With AI switched off, answers go into the CV unaltered and experience per technology is calculated by a fixed algorithm.
- AI tailoring stays available as an option for companies that want a CV optimised for the same job description.
- For DIGIT-TM III service requests, this gives teams a faster route to technical answers without adding a new step to their AI disclosure.
Why Technical CVs Undersell What Candidates Can Do
The skills gap on a technical CV is often a documentation gap. A developer who used a tool across several projects may have listed it once, or not at all, because it did not seem worth mentioning when the CV was written.
“In IT the problem is very much related to the technical skills that are missing, because people don’t realise they have skills, but they didn’t put them on the CV, and because they didn’t put them on the CV, companies often don’t know which skills they have or not.”Marco Pincho, Founder & CEO
The consequence lands on the company presenting the candidate. A recruiter searching the database for a skill will not find someone who never recorded it. A bid manager reading the CV cannot put forward experience that is invisible on the page.
Marco’s view is that candidates need a degree of coaching here, and above all the right questions, to bring that hidden experience onto their CV. The candidate usually has the answer. What is missing is someone asking the question at the moment it matters.
What Is a Candidate Skills Questionnaire?
When a CV falls short, the reflex for a lot of companies is to reach for AI and expect a model to solve the problem. Marco sees it differently:
“Companies are often focusing a lot on AI to solve problems, when in reality there are some processes that are not based on AI that really understand the problem and can then help them.”Marco Pincho, Founder & CEO
A candidate skills questionnaire is one of those processes. It is a very simple form, built around the requirements of a specific job description or service request, and shared through a link the candidate can open anywhere: in an email, on WhatsApp, or through whichever channel the recruiter already uses with that person.
The questionnaire puts the important questions in front of the candidate and gives them the opportunity to say whether they have each skill or not. Nothing more is asked of them, which keeps the effort proportionate to what the role actually needs.
What does a candidate skills questionnaire ask?
It asks the candidate to confirm whether they have the skills a specific job description or service request requires.
The questions come from the role in front of the team, not from a generic application form. A candidate being considered for a service request sees only the requirements that matter for that request, answers them, and is done. For a step-by-step look at setting one up, see how to launch a questionnaire.
Why the Candidate Should Be the One Answering
It would be faster, on the surface, for a recruiter to fill in the gaps on a candidate’s behalf. The trouble starts when a CV claims something the candidate does not recognise, and that tends to surface at the worst possible moment, in front of the client.
“Put the questionnaire in front of the candidate and let them be the one to answer, so that when they get to the interview, they feel comfortable with the answer they gave, and don’t then say that the company lied on the CV, that it said they have something when they don’t, which happens sometimes.”Marco Pincho, Founder & CEO
Letting the candidate answer changes who owns each claim. Every skill confirmed through the questionnaire is one the candidate stated personally, so there is no gap between what the CV says and what the candidate is ready to defend.
That protects the company’s credibility with the client. It also protects the relationship with the candidate, who is far less likely to feel misrepresented by the agency or consultancy putting them forward.
Does a skills questionnaire help candidates prepare for interviews?
Yes. Answering questions drawn from the role prepares the candidate for the questions likely to come up at interview.
By the time the interview happens, the candidate has already considered each requirement and decided, in their own terms, whether it applies to them. They walk in knowing what their CV says and why. For the recruiter, that means fewer surprises and a candidate who presents with more confidence.
How Answers Reach the Profile Without an Email Chain
Without a questionnaire, confirming a candidate’s skills usually means a long exchange of emails. The candidate says they have a skill, then clarifies where they do not, then explains which projects it was used on and which it was not.
That exchange gets heavier when the request behind it is demanding. Technical questionnaires attached to service requests often ask candidates to evidence their experience in detail.
“Often, to answer questionnaires: ‘Prove to me you have ten years of experience, where did you use it?'”Marco Pincho, Founder & CEO
Each round of that conversation costs time on both sides, and the answers still have to be copied from an inbox into the candidate’s record by hand. A questionnaire removes the relay entirely.
“This connects the CV to the profile straight away and everything is automated, so the person answers, the profile updates immediately and is available right away for when the CV is generated.”Marco Pincho, Founder & CEO
The moment the candidate presses the button, their profile is updated. There is no re-entry step for the recruiter, no thread to track, and no risk of an answer sitting unread in someone’s inbox while a submission deadline approaches.
How Experience per Technology Is Calculated Without AI
With AI switched off, the questionnaire workflow does not rewrite, rephrase, or interpret anything the candidate submits. The answers go into the CV exactly as given, and the experience figures are calculated from them.
“We only enter the candidates’ answers directly into the CV and immediately calculate the experience time for each technology. All of this without AI, it’s just pure algorithm.”Marco Pincho, Founder & CEO
For a team under submission pressure, that predictability matters. What the candidate confirmed is what appears on the CV, and the time of experience per technology follows directly from their answers, with no model deciding how to phrase or weigh them.
Does the questionnaire use AI to update the CV?
No. With AI switched off, the candidate’s answers go into the CV unaltered, and experience per technology is calculated by algorithm.
Nothing is changed on the way from the questionnaire to the CV. The candidate’s answers are introduced directly, and the calculation of experience time per technology runs on fixed rules. AI only enters the picture if a company chooses to switch it on for tailoring, which is covered in the next section.
| AI switched off | AI switched on | |
|---|---|---|
| Candidate answers | Entered directly into the CV, unaltered | Used as input for a tailored CV |
| CV output | CV reflecting exactly what the candidate confirmed | CV optimised and tailored to the job description used to build the questionnaire |
| Decision | Company chooses to keep AI off | Company chooses to turn AI on |
Where AI Tailoring Fits, If You Want It
The questionnaire works on its own, but it can also connect to AI and CV tailoring. That choice is left to each company and its users, who can decide whether AI is part of their workflow at all.
When it is switched on, Sprint CV’s AI takes the candidate’s new answers and can generate a CV that is already optimised and tailored for the job description used to create the questionnaire. The same requirements that shaped the questions then shape the CV that goes out.
For companies running a full Enterprise CV Manager setup, this means the questionnaire does not force a decision about AI. A team can start with AI off, rely on the algorithm and the candidate’s own answers, and turn tailoring on later for the submissions where it adds value.
Do we have to use AI to get value from candidate questionnaires?
No. The core workflow, from candidate answers to an updated profile and calculated experience, runs without AI.
AI tailoring is an optional layer on top. Companies that prefer to keep every CV exactly as the candidate confirmed it can leave AI off permanently and still remove the email back-and-forth, the manual re-entry, and the manual experience calculations.
What This Means for DIGIT-TM III Service Requests
Marco places the questionnaire workflow squarely in the context of DIGIT-TM III, where service requests come with technical questionnaires that candidates and companies have to answer quickly and accurately.
“This will help enormously in answering the technical questionnaires, even without using AI.”Marco Pincho, Founder & CEO
The goal is for candidates to have their information filled in based on the service requests and job descriptions themselves. The candidate completes the questionnaire, and that information then passes directly into the CV, unaltered when AI is off, with experience per technology already calculated.
There is a compliance dimension to the “without AI” part as well. Section 1.11 of the DIGIT-TM III tender specification requires tenderers and contractors to disclose any general-purpose AI models used in preparing a tender or in providing the service, including links to each provider’s public training-data summary. The contracting authority reserves the right to reject an offer where that disclosure has clear gaps, omissions, or contradictions, under Regulation (EU) 2024/1689, the EU AI Act.
A questionnaire step that runs on the candidate’s own answers and a fixed algorithm involves no general-purpose AI model. Teams working CV management for consulting companies under DIGIT-TM III can therefore speed up their technical answers without widening what their disclosure has to cover for that step.
Does the questionnaire workflow add to a DIGIT-TM III AI disclosure?
Not while AI is switched off. The answers reach the CV by algorithm, with no general-purpose AI model involved in that step.
Section 1.11 disclosure applies to general-purpose AI models used in tender preparation or service provision. If a company later switches on AI tailoring, that step does involve a model and belongs in the disclosure. The practical point worth confirming with a legal or bid team is simply which steps in the workflow run with AI, and which run without it.
What Faster Answers Change for Recruitment Teams
The questionnaire comes from a close understanding of the recruitment workflow, and from a view that both sides of it can be improved at once. Companies get the information they need faster, and candidates get a far simpler way to provide it.
For a bid or tender manager, the gain shows up in the time between receiving a service request and having submission-ready CVs. For a Head of Recruitment, it shows up as fewer email threads, fewer manual updates, and a candidate experience that asks people only what is relevant to them.
- ✓Questions built from the job description or service request the team is responding to
- ✓A link shared by email, WhatsApp, or any other channel the candidate already uses
- ✓The candidate confirming each skill personally, ready to stand behind it at interview
- ✓The profile updated the moment the candidate submits, available for the next CV generated
- ✓Answers entered into the CV unaltered when AI is switched off
- ✓Experience per technology calculated automatically by algorithm
- ✓Optional AI tailoring to the same job description, only where the company chooses it
The end result is information obtained faster, so the company can respond faster to service requests. The recruiter still decides who goes forward. What changes is how quickly an accurate, candidate-confirmed CV is ready to support that decision.
Frequently Asked Questions
What is a candidate skills questionnaire?
It is a short form, built from a job description or service request, that asks a candidate to confirm whether they have each required skill. The candidate answers it directly, and their profile updates as soon as they submit.
How do candidates receive a skills questionnaire?
Through a link, which can be sent by email, WhatsApp, or any other channel. The candidate opens it, answers the questions relevant to the role, and submits.
Does a questionnaire update the candidate’s CV automatically?
Yes. The moment the candidate submits, their profile is updated and the new information is available whenever a CV is generated, with no manual re-entry by the recruiter.
Is AI used to calculate years of experience per technology?
No. With AI switched off, the candidate’s answers are entered directly into the CV and experience time per technology is calculated by algorithm.
Can questionnaire answers be used to generate a tailored CV?
Yes, if the company chooses to switch AI on. The AI can then take the new answers and generate a CV optimised and tailored for the job description used to create the questionnaire.
How do skills questionnaires help with DIGIT-TM III service requests?
They help teams answer the technical questionnaires attached to service requests faster, using information candidates confirm themselves. With AI off, that step involves no general-purpose AI model, so it does not add to the disclosure required under Section 1.11 of the tender specification.
Final Thought
The fastest way to fill a gap on a technical CV is often the simplest one: ask the person who knows the answer, at the moment the answer is needed, and put what they say straight onto the page.
For teams preparing DIGIT-TM III responses, or any submission where accuracy and speed both count, that approach removes a layer of admin without introducing a new layer of risk.
Want to see what a candidate skills questionnaire would look like on your next DIGIT-TM III service request? Book a demo with Marco Pincho and bring a real job description to test it against.
About the Author
Three years of turning Sprint CV’s workflows into tutorials, videos, and guides people actually finish taught António Teixeira what separates a feature nobody adopts from one that sticks. He is part of the team that writes the guides, walkthroughs, video tutorials, and blog content that help recruitment and consulting teams get more out of the platform, translating every product update into content clients can act on immediately. Connect with António on LinkedIn
