TeamUp · Scorecards

Standardized interview scorecards: bias out, data in

Every interviewer evaluates with the same criteria. Compare candidates objectively and make better hiring decisions.

100 CVs
analizados en 4 min
con IA
80%
menos costo
por contratación
+500
background checks
realizados
1,000 hrs
ahorradas al mes
por equipo
MG

María García

Supervisora de operaciones

En proceso
94AI Score
Deep Insights
Experiencia92%
Fit del puesto88%
Disponibilidad95%

Análisis IA

Perfil altamente compatible. Experiencia comprobada en operaciones y liderazgo de equipo.

Operación de líneaLiderazgo de turno
Usado por equipos de:
Verifigas·NEPANOA·Think Talent·Hanova·Ascendix·Ship&Box

TeamUp’s standardized interview scorecards make every interviewer evaluate with the same criteria. You define the key competencies with AI criteria per role and each interviewer completes the same scorecard after the interview, removing individual bias and contributing to your diversity and inclusion goals with comparable, defensible decisions.

At Mexican companies with several interviewers per process, subjective evaluations create decisions hard to justify. With TeamUp, results consolidate automatically in the Kanban recruiting pipeline, hiring manager notifications alert when an evaluation is pending, and you can compare finalists side by side with data, not impressions.

Retos que resolvemos

Each interviewer evaluates by their own judgment

Subjective decisions impossible to compare

No common competency framework per role

Personal bias influencing the hire

Interview notes scattered in notebooks or emails

Information lost at decision time

Hard to justify why a candidate was chosen

Hiring decisions that don’t hold up to the area

How it works

  1. 1

    Define the competencies to evaluate per role

    Create a scorecard template with the role’s key criteria.

  2. 2

    Each interviewer completes the scorecard after the interview

    Everyone evaluates with the same framework, removing individual judgment.

  3. 3

    Scores consolidate automatically per candidate

    TeamUp adds up all interviewers’ evaluations with no manual work.

  4. 4

    Compare candidates with a side-by-side view

    Decide between finalists with objective data instead of impressions.

  5. 5

    Back the final decision to the area

    Explain with clear, traceable criteria why each candidate was chosen.

What you get with TeamUp

Bias-free evaluation

Everyone evaluates with the same competency framework, not by impression.

Scorecards per role

Templates with the specific competencies each role requires.

Automatic consolidation

The scores of all interviewers add up per candidate on their own.

Side-by-side comparison

Decide between finalists with objective data, not perceptions.

Defensible decisions

Back every hire with clear, traceable criteria.

Use cases

Processes with an interview panel

Several evaluators apply the same scorecard and results consolidate without bias.

Business-critical roles

For key positions, the evaluated competencies are standardized and compared objectively.

Hiring-decision audit

HR can explain with data why each candidate was chosen to the area.

Manual process vs. with TeamUp

Without TeamUp
With TeamUp
Everyone evaluates their own way
The same scorecard for all interviewers
Notes scattered in notebooks and emails
Evaluations consolidated per candidate
Subjective decisions hard to justify
Objective comparison with data
Personal bias in the hire
A common, traceable competency framework

Frequently asked questions

Ready to transform your recruiting?

Join the HR teams already hiring faster with TeamUp.

Request a free demo

Let's talk

Tell us about your operation and a specialist will get back to you within 24 business hours.

Or email us directly at hola@teamup.mx