Enrich

Understand candidate basics, openness to opportunities, L1–L4 seniority, recent activity, and personalized analysis grounded in public evidence.

Enrich is DINQ's candidate profile enrichment and analysis feature. It brings together public experience, work, research, career signals, and recent activity, then uses the current search context to explain fit and suggest recruiting approaches.

An Enrich profile describes the candidate you are researching. It is not your own published Profile, and it is separate from the single-platform workflow in Talent Analysis.

Read an Enrich profile through five complementary kinds of information:

AnalysisWhat it helps you understandWhat it does not establish
Basic informationIdentity, current affiliation, verifiable experience, and public linksA complete background check or a current CV confirmed by the person
Openness to opportunitiesPossible openness to new work opportunities based on public signalsA declared job search, reply rate, or probability of accepting an offer
L1–L4 seniorityRelative experience and potential scope of responsibilityA verified internal level or pay grade at a particular company
Personalized dynamic analysisAnalysis tailored to talent category, search context, and available evidenceOne fixed metric template for everyone, or guaranteed continuous real-time updates
Recent activityRecent work, public events, and career changes with available sourcesComplete whereabouts, all activity, or real-time monitoring

Generate and open a profile

  1. In search results, choose Generate profile in the Profile column.
  2. Wait for generation, then choose View profile.
  3. To process several people, select candidates and choose Generate profiles in the toolbar.
  4. Review fit, career signals, recruiting advice, and sources rather than only the headline score.

This guide describes the new search-page profile. Shortlist and Talent Radar currently use different panels; not every entry point exposes the same fields.

Single- and two-column layouts

Enrich can display the same candidate's profile in one or two columns. This is a change in presentation as the panel width changes, not a comparison of two people. Switching layouts does not regenerate the profile or add a generation charge.

  • Single column: A narrow panel stacks basic information and analysis vertically. Scroll down to continue reading.
  • Two columns: With sufficient width, the left column contains identity, role, affiliation, summary, match, education, and experience. The right column contains track record, career status, openness, and recruiting advice. Recent activity and sources remain further down the left column.
  • Switching: Use the Widen panel / Narrow panel icon at the top right on desktop. The actual column count still depends on available width; a narrow screen does not force two cramped columns.
Enrich single-column layout with vertically stacked profile content
Figure: The actual narrow profile panel with a fictional candidate. The first screen is shown; additional modules are available by scrolling.
Enrich two-column layout with basics on the left and analysis on the right
Figure: The same fictional candidate as above. Widening lets the component switch to two columns without changing profile content; this is not a two-person comparison.

Basic information: confirm the person's identity

The top of the profile helps you establish who you are reviewing before reading the analysis. Public coverage differs by person; unavailable fields may remain empty or use a neutral placeholder.

InformationWhat it representsWhat to check
Photo and nameName, an available local-language name, and photo; initials may appear without a photoConfirm affiliation, experience, and public profiles rather than relying on a photo or shared name
Current role and affiliationRole, company, laboratory, or other organization in available public recordsOpen the original professional or organization page and check for changes
Highest degree and locationAvailable school, degree, and public location informationLocation is not a job-location preference; missing education does not establish that no degree exists
One-line summaryA generated overview of background, specialization, or representative workRead it alongside the detailed experience and evidence
Public platform linksAvailable GitHub, LinkedIn, Scholar, personal site, and other linksVerify identity and actual work; a link does not mean its owner authorized DINQ to sign in to that account
Education and work historyAvailable schools, organizations, degrees, roles, and datesCheck chronology, overlapping roles, and current employment; public records may be incomplete

Basic information answers who the person is; Match explains possible relevance to the current request. A person can have the same history but different fit explanations for different roles.

Data coverage describes how many kinds of information are available in this profile, not factual accuracy, ability, or confidence in a hiring decision. Review Sources and the generation timestamp when verifying details. A recently generated profile does not mean every source was updated that day.

Get email is a separate contact-lookup action. Generating basic information does not automatically find an email or send a message. Billing is explained below; see Outreach for contact workflows.

Enrich basic information, public links, and experience example
Figure: Focused product components with a fictional name, role, affiliation, public links, summary, and experience. This is not a new standalone product page.

Openness to opportunities

Openness is a model-assessed score from 0 to 100 that helps you explore possible openness to new work opportunities. A higher score suggests that the person's preferences may be worth exploring; it does not mean they have declared that they are looking for work.

ScoreDisplay bandHow to use it
0–39SettledPublic signals lean toward a stable current situation; consider relationship-building and continued observation
40–69Open to the right roleA suitable opportunity may be worth discussing with specific role or collaboration context
70–100ActiveThe model estimates greater openness; still confirm preferences, timing, and conditions directly

Read the drivers alongside the score. Career stage, current tenure, and recent public events can provide positive or negative signals. Signed impact values help explain the assessment; they are not self-ratings and should not be added together as a formula for the final score.

When shown, ± expresses uncertainty in the estimate, not a guaranteed interval. A score of 80 does not mean an 80% chance of changing jobs or replying. A low score is not a refusal of all contact. Check source dates and confirm preferences through respectful professional communication.

Openness score, band, and positive and negative drivers example
Figure: A score of 62, its band, ±8, and signed drivers are demonstration values showing how the components relate, not predictions about a real person.

L1–L4 seniority distribution

Under Recruiting advice > Level and role, DINQ uses L1–L4 to describe relative seniority and potential responsibility across companies, job titles, and talent backgrounds.

LevelMeaningIndicative responsibility
L1Junior / early careerComplete specific tasks with guidance and clear objectives
L2Mid-levelIndependently own a module, part of a project, or research topic
L3Senior / StaffDefine direction, own core technology, or lead a small team
L4Expert / PrincipalDemonstrate broad field influence and help shape organization-level direction

These are DINQ's relative seniority bands, not a particular employer's internal levels, and they are not a mechanical conversion from years of experience. Both management and individual-contributor paths can show seniority; a larger reporting team is not required for a higher band.

The profile displays a distribution across L1–L4, not just one absolute label. For example, an illustrative distribution of L3 60%, L4 30%, and 10% across the other levels means the model leans toward L3 while retaining other possibilities. It does not verify the person's current employer level. Close distributions especially call for reviewing project ownership, scope, and actual work.

Read the recommended role, approach, and timing together with this distribution. Do not use a level alone to set compensation, reject a candidate, or replace interviews.

L1–L4 seniority distribution, suggested role, and approach example
Figure: L3 has the largest probability in this fictional component example. Values, roles, and advice are not an employer's verified leveling decision.

Personalized dynamic analysis

Personalized analysis adapts to each person's talent category, public record, and the current search context. A researcher, creator, and founder should not have to demonstrate their work through the same metric template.

Talent categorySignals the profile may emphasize
Industry professionalsExperience, responsibilities, seniority, tenure, public projects, and colleague or collaboration evidence
Creators / KOLsContent, platform influence and engagement, representative work, and public partnerships
FoundersCompany and funding stage, entrepreneurial experience, products, and collaboration context
Early-career academicsResearch direction, papers, citations, academic stage, and graduate or internship eligibility signals
Academic facultyResearch output, citations, collaboration networks, and consulting or research cooperation context
Frontier-lab talentResearch and engineering work, lab experience, and available talent-movement information
People whose public footprint is mainly LinkedInVerifiable career history and tenure; missing work or collaboration information stays empty rather than being invented

Categories organize analysis; they do not rank people's ability. Available evidence determines which fields appear. A sparse public footprint does not mean weaker ability.

Search context also shapes the fit explanation. The same person considered for an inference-engineering role and a developer-ecosystem role may require different evidence and reasoning. Enrich uses the match context and identity hints supplied with the request rather than treating one score as a permanent label on a person.

Dynamic analysis also includes staged enrichment within a generation: additional sources can refine fit explanations, drivers, and recruiting advice. It does not mean every visit starts fresh retrieval or that monitoring runs continuously. Identical requests may reuse cached profiles. For ongoing candidate discovery, see Talent Radar.

Personalized analysis illustration comparing engineering and academic signals
Figure: Two fictional profiles rendered with product components illustrate different engineering and academic priorities. This is neither the single-profile two-column mode above nor a product comparison feature.

Recent activity: understand what happened lately

Recent activity organizes available public events from the past 90 days into a timeline. Use it to explore current work, verify context, and prepare relevant outreach. Types include papers, job changes, open-source work, talks, news, social posts, awards, and published content.

Depending on available information, each event shows:

  • Date and type: Establish timing and the nature of the activity; an old report is not a new event.
  • Summary: A brief description; verify important details on the original page.
  • Source link: Open the paper, project, organization announcement, news story, or public post and confirm it refers to the same person.
  • Openness impact: Some events show a signed impact value explaining the model assessment. This is not a declared job-search preference or evidence that the event will cause a job change.

For example, if an illustrative candidate recently released an inference-optimization project, open the repository, check their contribution, and use that work as conversation context. A talk, post, or role change alone does not establish that the person is job hunting.

Recent activity and personalized dynamic analysis are different. The timeline describes recent public events; personalized analysis explains which indicators and reasoning are relevant to this person and request. Events can inform analysis, but not every event changes a score.

The timeline reflects public records available during generation, not fresh retrieval on every visit. A cached profile is not a complete live activity feed, and an empty timeline does not mean the person has been inactive. See Talent Radar for ongoing discovery and the regeneration rules below.

Recent activity dates, event types, impact values, and source links example
Figure: An illustrative open-source, talk, and publication timeline. People, dates, events, impact values, and example.com sources are fictional.

Read the other modules together

  • Match: Score, verdict, reasons, and tags for the current request.
  • Education and experience: Available schools, organizations, roles, and dates.
  • Metrics and representative work: Category-relevant metrics linked to papers, code, projects, or content.
  • Collaborators or colleagues: Publicly supported relationship clues, not promises of a reference.
  • Career stage and tenure: Read separately from L1–L4; academic stage, time in a role, and responsibility are different concepts.
  • Recent activity and sources: Available public events from the past 90 days, source links, generation time, and data coverage.

Openness, match score, career-stage confidence, and the L1–L4 distribution answer different questions. Do not treat them as one rating or confuse data coverage with ability.

Generation, caching, and billing

A successful new search-page profile costs 5 Credits. The same user can reuse a profile within seven days without another charge when the name, match context, identity hints, and language are unchanged.

Regenerate profile bypasses the cache and charges again if successful. Changing language or request context can also require a new generation. Additional-source and refinement steps are part of that generation, not a separate new paid profile for each progress update.

Email lookup is separate: 20 Credits per candidate when an email is successfully found, not included in profile generation. See Pricing & Credits for full rules.

Put the analysis to work

Start with relevance to your role, use seniority to explore responsibility, then consider openness and public drivers when preparing an approach. Review recipients and drafts in Outreach before sending.

Keep predictions distinct from sourced facts. Model assessments are not declared preferences, background-check findings, or hiring decisions. Missing information is not evidence of absence. Verify important judgments through original sources, work review, interviews, and the person's own confirmation.

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