Last week, in a working session with a recruitment team, the DIGIT-TM CV preparation time was, once again, a topic of interest. I asked one of the recruiters a simple question: how long does it actually take to convert a candidate CV into the DIGIT-TM format. Her answer was matter-of-fact, almost casual: “1 hour, 1 hour and a half”. This pointed at a cost that most consulting firms have quietly accepted as the price of doing business.
Tenders in 2026 are not won by the most thorough CV. They are won by the fastest qualified one. If your team is still spending an hour and a half per DIGIT-TM CV, the question is no longer whether you are losing deals. The question is how many you have already lost without realising it.
The time spent by the recruiter looks normal, but it really isn’t. One hour spent per single CV. Now multiply that by every shortlist, every tender, every consultant in your database that needs to be repackaged for a different client. That is not recruitment work. That is formatting work dressed up as recruitment work.
TL;DR
- Working recruiters report 60 to 90 minutes to convert a single CV into DIGIT-TM format.
- The bottleneck is not typing. It is reconciling missing stack data, calculating overlapping experience, and respecting commission rules.
- Most CVs are missing the technologies that the job description specifically requires, even when the candidate has the experience.
- Manual experience calculations including academic overlaps, part-time deductions, and the five-year academic penalty cap consume real time.
- The recruiter’s value is in coaching the candidate, fixing the stack, and shaping the narrative, not in formatting Word documents.
- Firms still operating at 90 minutes per CV are structurally slower than competitors who have automated the data layer.
- The realistic target is 10 minutes per CV with the recruiter focused only on what changes the outcome.
If your team responds to 10 to 20 tenders per quarter, DIGIT-TM CV preparation time is not a detail in the workflow. It defines your throughput. At 90 minutes per CV, the number of candidates you can realistically submit is capped by how many hours your recruiters can spend reformatting documents. At 10 minutes per CV, the constraint disappears. The bottleneck shifts to candidate quality and positioning, where deals are actually won
What’s in this article
- Why DGTM CV preparation eats 90 minutes
- What recruiters are actually doing during that time
- The hidden complexity of experience calculations
- Why the stack is almost always wrong on the first pass
- Where automation helps and where the recruiter still owns the work
- From 90 minutes to 10: what changes operationally
- The commercial cost of staying at 90 minutes per CV
- Frequently Asked Questions
Why DIGIT-TM CV preparation time is around 90 minutes
DIGIT-TM is not a design template. It is a structured format imposed by the European Commission framework contracts, and it demands specific data points that almost no candidate volunteers in their original CV. Recruitment date, contract type, project scope, team size, role, dates per project, technical stack mapped to each project, certifications with dates, education levels, and a CV summary aligned to the requested expertise.
The default candidate CV gives you maybe 40 percent of that. The other 60 percent has to be reconstructed. That is where the 90 minutes goes.
What is the typical time to format one DIGIT-TM CV manually?
Working recruiters consistently report 60 to 90 minutes per CV when starting from the candidate’s original document.
This is not an estimate from a vendor pitch. It is what Jane, a recruiter at a major European consulting group, said when asked directly during a live session. The time covers reformatting, calculating experience, requesting missing information from the candidate, mapping stack to projects, writing the summary, and producing the final Word output.
What recruiters are actually doing during that time
If you think about a recruiter and the DIGIT-TM CV preparation time, the keyboard is mostly idle. The real time goes into decisions, calculations, and back-and-forth with the candidate. Typing the document is the smallest part of the job.
Here is the actual breakdown of what consumes the 90 minutes:
| Activity | Approximate time | Why it is slow |
|---|---|---|
| Reading and interpreting the original CV | 5 to 10 min | Inconsistent structure, missing dates, unclear project boundaries |
| Identifying gaps against the job description | 10 to 15 min | Cross-checking required stack with what is declared |
| Contacting the candidate for missing data | 10 to 20 min | WhatsApp, email, phone calls, waiting on replies |
| Calculating experience with overlaps and academic deductions | 15 to 20 min | Manual math, easy to get wrong, affects the seniority level |
| Mapping stack to each project | 10 to 15 min | Decisions about which technology goes where, in what year |
| Writing the summary and project narratives | 15 to 20 min | Tone, length, alignment with the requested profile |
| Final formatting and quality check | 5 to 10 min | Word document layout, table structures, calculations consistency |
Notice what is missing from this list. Strategic thinking. Candidate coaching. Reading the framework contract for grey areas that could push the candidate from level 8 to level 9. The work that actually changes whether the CV wins.
How much is your DIGIT-TM CV preparation time actually costing you
Most teams do not measure this properly. A quick way to assess:
- Preparing one DIGIT-TM CV takes more than 45 minutes on average
- Recruiters frequently go back to candidates to reconstruct missing stack
- Experience calculations are done manually or in spreadsheets
- Submission speed limits how many profiles you include per tender
If two or more of these are true, your DIGIT-TM CV preparation process is constraining your ability to compete.
The hidden complexity of experience calculations
One area that consumes far more time than people admit is calculating years of experience correctly. The commission rules are specific and they punish sloppy math. Three rules quietly destroy hours of recruiter time every week.
Overlapping projects
If a candidate worked on two full-time projects at the same time, the total cannot be 80 hours per week. The system must split the time proportionally. If one project is full-time and another is 20 hours, then 66 percent of the duration goes to the first and 33 percent to the second. Done manually, this is tedious and error-prone.
Academic overlap with professional work
If the candidate started working in 2005 while still studying, those academic years have to be discounted from total professional experience. But there is a cap: the maximum penalty a candidate can take is five academic years, even if they completed three degrees. As I explained during the session:
“If you did three masters, you should not be penalized three or four times. It’s not fair. So the maximum penalty that you can take is five years.”
Get this calculation wrong and the candidate is graded a level lower. That single error is often the difference between winning and losing the position on a framework contract.
The narrative simplification
Sometimes the recruiter has to actively simplify the educational history. A candidate with two overlapping degrees may take less penalty if presented as one. This is judgement work. It requires understanding the framework contract, the candidate’s real story, and where the grey lines are.
Why is calculating years of experience so time-consuming?
Because the rules are specific, the math is non-trivial, and the result determines the candidate’s seniority level on the tender.
Recruiters have to handle full-time and part-time overlaps, academic deductions capped at five years, and education simplifications that respect the framework contract. Done in a spreadsheet or by hand, this alone takes 15 to 20 minutes per CV. Done badly, it costs the firm a level on the submission.
Why the stack is almost always wrong on the first pass
Here is something most operations leaders underestimate: a DIGIT-TM CV is never complete after a normal import. The reason is structural. Commission tenders ask for very specific technical expertise, and that expertise is almost never fully declared in the candidate’s original CV.
A Java developer with 21 years of experience may have used Angular, AWS, Kubernetes, Jira, Confluence, Agile, and Scrum across his career, and his CV mentions almost none of them. He just put “Java backend.” When the job description asks for Angular and the candidate has three years of Angular he never wrote down, the recruiter has to extract that information.
The fastest way is not a Teams call. It is a structured WhatsApp conversation:
- Send the job description requirements as a checklist
- Ask year-by-year: when did you start with Angular, AWS, Kubernetes
- Confirm grey areas explicitly: “tell me yes if you genuinely used it, no if not”
- Map the answers back to specific projects in the CV
- Re-rank skills by months of experience so the most relevant appear first
This is the work that changes the outcome. And it should be where the recruiter spends most of the 90 minutes, not the last 10. The reason it usually gets the last 10 is because the formatting work consumes everything before it.
Where automation helps and where the recruiter still owns the work
The honest answer is that not all 90 minutes can be eliminated. And anyone who tells you otherwise is selling fiction. The real opportunity is to remove the mechanical work so the recruiter can spend their time on what actually wins tenders.
This is exactly the structural problem we built Sprint CV’s enterprise CV management for consulting companies to solve. The platform absorbs the mechanical layer: parsing, experience calculations, overlap deduplication, academic penalty caps, stack mapping to projects, and DGTM or Europass generation. What remains for the recruiter is judgement work.
| Task | Automated | Recruiter still owns |
|---|---|---|
| Parsing the original CV into structured data | Yes | No |
| Calculating experience with overlap rules | Yes | No |
| Applying the academic penalty cap correctly | Yes | No |
| Generating DIGIT-TM and other formats | Yes | No |
| Writing the CV summary and project narratives | Yes (AI revision) | Final review and tone |
| Identifying missing stack against the job description | Partial (AI assistant) | Decision on which to ask |
| Coaching the candidate on grey-area answers | No | Yes |
| Simplifying the education narrative for level optimisation | No | Yes |
| Reading the framework contract for level boundaries | No | Yes |
I said this directly during the session, and I will repeat it here:
“This thing is your job as a recruiter. The CV says something but when you are preparing a DIGIT-TM you are telling a story as well.”
The system saves the recruiter from formatting work. It does not save them from thinking. That distinction matters.
From 90 minutes to 10: what changes operationally
When a team moves from 90 minutes per CV to 10 minutes per CV, three things change operationally, and none of them are about typing speed.
Capacity shifts toward higher-value work
A recruiter previously formatting six CVs in a day can now process six CVs in one hour and spend the rest of the day on candidate sourcing, coaching, and stack verification. The total volume goes up, but more importantly, the conversion rate improves because the candidates being submitted are better prepared.
Tender response speed becomes a real advantage
When a tender drops on a Monday morning with a Friday deadline, the firm that can repackage 30 candidates by Tuesday afternoon has a structural edge over the firm that needs the full week just to format CVs. We covered this dynamic in detail in our analysis of how consulting companies can reduce time-to-submission by 10x.
The candidate database becomes a real asset
When CVs are loaded as structured data, not just reformatted documents, you can run searches across every consultant in the organisation. How many Java developers with 10 years of experience and a specific certification. How many candidates available next month with AWS experience. This is the difference between a folder of Word files and a usable talent intelligence layer. We explored this further in CV database management software for consulting firms.
Is 10 minutes per CV realistic?
Yes, when the data layer is automated and the recruiter only handles judgement work.
The 10 minutes covers stack verification with the candidate, summary review, and any narrative simplification on education. The mechanical work, parsing, calculations, format generation, is no longer in the recruiter’s hands. This is consistent with what consulting groups using Sprint CV’s Enterprise CV manager report after their first quarter on the platform.
The commercial cost of staying at 90 minutes per CV
Let me be specific about what 90 minutes per CV actually costs a consulting firm. Take a mid-sized firm responding to 20 tenders per quarter, with an average of 8 CVs per submission. That is 160 CVs per quarter. At 90 minutes each, that is 240 hours of recruiter time. Six full working weeks, every quarter, on formatting.
The direct cost is significant. The opportunity cost is worse. Every hour spent formatting is an hour not spent on the candidate conversation that would have caught the missing certification worth three points on the level scale. Or the hour not spent searching the existing database for a stronger candidate already in the system.
And the competitive cost is the worst of the three. While your team formats, your competitors are already in the interview stage with their candidate. The framework contract evaluations move on whoever responds first with a qualified profile. Speed is not a nice-to-have. It is the deal.
If you are currently operating above 45 minutes per CV, it is worth looking at what part of your DGTM CV preparation process is still manual.
That is typically where most of the lost time, and missed opportunities, sit. Book a meeting with us and we will show you how to fix the process.
Frequently Asked Questions
Working recruiters consistently report 60 to 90 minutes per CV. The time is not in typing, but in calculating overlapping experience, applying academic penalty rules, mapping stack to projects, contacting the candidate for missing information, and writing the summary aligned with the job description.
DIGIT-TM is the structured CV format required by some of the European Commission framework contracts. It demands specific data points: project dates, team size, role, contract type, technical stack per project, certifications with dates, and a structured summary. Most candidate CVs cover only about 40 percent of what DIGIT-TM requires.
Because commission tenders ask for very specific technical expertise that candidates rarely declare in full. A Java developer may have used Angular, AWS, Jira, and Scrum for years without listing them. The recruiter has to extract this through structured questioning before the DIGIT-TM CV is usable.
If a candidate worked two full-time projects simultaneously, the total cannot exceed 40 hours per week, so the duration is split proportionally. Academic years overlapping with professional work are also discounted, with a maximum penalty of five academic years regardless of how many degrees the candidate completed.
No. AI handles parsing, calculations, format generation, and first-draft writing of summaries and project narratives. The recruiter still owns candidate coaching, stack verification, narrative simplification on education, and reading the framework contract for level optimisation. The goal is to remove mechanical work, not judgement.
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