PRE-INTERVIEW DIAGNOSTICS

Capture the right signals before the first interview.

Yeliq analyses the role, creates a structured requirement analysis and builds the matching Pre-Interview Flow. Recruiting reviews the proposal, adjusts it where needed and approves it.

Yeliq product system for Pre-Interview Diagnostics

Not every role needs the same selection process.

A CV answers different questions than a video. A work sample provides different signals than a situational question. For each role, Yeliq therefore clarifies which information is truly missing before the first interview.

Live Host

Communication, presence and spontaneous response.

Sales Manager

Communication, prioritization, customer situations and closing orientation.

Consultant

Client work, structure, problem solving and project pressure.

Engineering Lead

Working style, decisions, ownership and team context.

Workflow

From requirement analysis to Pre-Interview Flow.

The walkthrough shows how Yeliq turns role requirements into an approved flow, a candidate experience and a usable decision basis.

1

Automated Role Diagnostics

Automated requirement analysis for the concrete role.

2

Pre-Interview Flow Design

Matching modules are proposed and configured for the role.

3

Review & Approval

Recruiting reviews the proposal, adjusts it and approves the flow.

4

Candidate Signal Collection

Candidates complete the flow and provide role-relevant signals.

5

Decision Support

Signals help teams prioritize, see open points and prepare better interviews.

Yeliq Flow Builder for the configured Pre-Interview Flow

Automated Role Diagnostics

First understand what the role really requires.

Yeliq guides recruiting and hiring managers through the requirement analysis. Tasks, work reality, team, leadership expectations, working styles and conditions are captured in a structured way to create a clear digital basis for the role.

Functional requirements
Work reality and team context
Leadership expectations
Role conditions
Yeliq Automated Role Diagnostics

Pre-Interview Flow Design

The requirement analysis becomes the matching flow.

Yeliq uses the automated requirement analysis to suggest only the modules that add relevant information before the interview.

Select matching modules
Configure by role
Avoid unnecessary modules
Prepare the flow
Yeliq Pre-Interview Flow Design

Review & Approval

AI-assisted preparation. Human review.

The prepared flow stays under human control. Recruiting or hiring managers can review, adjust, add or remove suggested modules and content before approval.

Review proposal
Adjust content
Approve modules
Keep human control
Yeliq Review & Approval

Candidate Signal Collection

The relevant signals for every candidate.

The approved Pre-Interview Flow is sent to candidates. It collects only the information that has been defined as relevant for the concrete role.

Mobile candidate experience
Situational questions
Video when relevant
Filters and work samples by role
Yeliq Candidate Signal Collection

Decision Support

Prioritization, open points and interview prompts.

Yeliq brings the collected information together. The result is not an automated hiring decision, but a reviewable basis for better prioritization and better interviews.

Relevant signals
Open points
Interview prompts
Reviewable basis
Yeliq Decision Support

Signals you can capture with Yeliq.

Yeliq can combine situational questions, video answers, filter questions, work samples and existing application information. The goal is a clearer basis for prioritization, interview preparation and open points.

Situational leadership questions

Realistic situations with leadership show what kind of guidance and involvement candidates prefer.

Situational workstyle questions

Realistic work situations show how candidates prefer to work around structure, autonomy, collaboration, decisions and pace.

Video answer

Video answers add information when communication, expression, presence or spontaneous response are relevant for the role.

Filter questions

Filter questions check concrete requirements and conditions early in the selection process.

Digital work sample

Digital work samples show how candidates actually approach a concrete, role-related task.

Grounded.AI-assisted.Reviewable.

AI supports the places where role information can be structured, matching modules can be proposed and results can be brought together. The configuration is reviewed by people. The final hiring decision remains human.

No automated hiring decision

Yeliq supports prioritization and interview preparation. The decision stays with recruiting, the hiring manager and the team.