The proven scorecard template to hire top startup design talent

Design talent both Individual Contributors (IC) and Managers are vital to the growth of your company. Intuitive design can make or break potential customers’ first impressions of your product. When you’re growing fast, a mis-hire in these roles can flatten your company's trajectory toward the moon. Don’t let that happen with Yobs Interview Kits.

What's a Yobs hiring scorecard?

The Yobs Design Interview Kits are built around competencies predictive of success in Design. Each kit includes a scorecard with (a) definitions of the competencies, (b) interview questions in the context of Design and if relevant managing a team, and (c) signals to look for in a candidate’s interview answers. 

Some competencies are more important than others when predicting performance, depending on the responsibilities of the job.

The Design Individual Contributor (IC) Interview Kit focuses on the competencies that matter the most.

Intellectual

Creative problem solver

Disciplined

Pays attention to details

Courage

Volunteers for challenges

Conscientiousness

Hard working and orderly

Ambitious

Sets and achieves goals

Download the Startup Design Scorecard

Relevant Job titles

The following job titles are especially relevant to the Design Individual Contributor Interview Kit.

The Design Manager Interview Kit focuses on the competencies that matter the most.

Customer Focus

Builds strong customer relationships

Drives Results

Consistently gets team to deliver

Courage

Volunteers for challenges

Develops Talent

Coaching and developing others

Ambitious

Sets and achieves goals

Relevant Job titles to Data Manager Interview Kit

The following job titles are especially relevant to the Design Manager Interview Kit.

Interview kits include a balance of behaviorally- and scenario-based questions. On one hand, past behavior predicts future behavior and future performance. On the other hand, scenario-based questions are more flexible and future-facing to allow candidates to shoot their shot. Taken together, evidence supports a blend of multiple methods to optimize for predicting on-the-job success for Design Individual Contributors.

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