Interview scorecard template

Neurofeedback-Enhanced Meditation App Designer interview scorecard

Evaluate Neurofeedback-Enhanced Meditation App Designer candidates across 4 weighted areas: portfolio, craft and rationale, feedback and iteration, and working with the brief. Portfolio leads at 35%, so review shipped meditation or biofeedback apps in their portfolio: session flows, live EEG state screens, onboarding for Muse or Emotiv headsets, plus retention or session-completion. Use the rubric to compare role-specific evidence consistently.

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design visual communicationeeg biofeedbackmeditation uxneurofeedbacksonification
TL;DR
For portfolio, look for evidence the candidate shows released apps with real EEG signal screens, before and after flows, and named retention or streak metrics they moved. For craft and rationale, look for evidence the candidate explains specific feedback mappings, latency budgets and artefact handling, and defends why gentle audio cues beat literal EEG graphs for meditators. Apply the written 1–5 anchors to every answer, record the evidence behind each rating, and use the factor weights to reach a consistent overall assessment.
Complete evaluation framework

What to assess and how to score it

Review the evidence signals before interviewing. Then use the anchored descriptions—not instinct alone—to choose the score that best matches each answer.

01
Evaluation factor

Portfolio

35% weight

Review shipped meditation or biofeedback apps in their portfolio: session flows, live EEG state screens, onboarding for Muse or Emotiv headsets, plus retention or session-completion figures.

Evidence to listen for

  • Work exists and can be looked at, not just described
  • States what they made versus what the team or a template made
  • Shows range rather than one repeated style
  • Can walk through a piece from brief to final

Five-point scoring guide

1
Poor

No portfolio, or work that is unattributable or clearly templated.

2
Needs Improvement

Thin portfolio; unclear what they personally made.

3
Satisfactory

Real work with adequate range; contribution mostly clear.

4
Very Good

Strong varied portfolio with clear personal ownership.

5
Excellent

Shows released apps with real EEG signal screens, before and after flows, and named retention or streak metrics they moved.

02
Evaluation factor

Craft and rationale

25% weight

Probe how they map alpha, theta or beta band power into calm visuals or sonification, and how they design around signal noise, artefacts and headset fit failures.

Evidence to listen for

  • Explains why a layout, type choice, or colour decision serves the brief
  • Knows typography and hierarchy as craft, not decoration
  • Works to a brand system without either breaking it or hiding behind it
  • Names the tools they are genuinely fast in

Five-point scoring guide

1
Poor

Cannot explain any decision; work is arbitrary.

2
Needs Improvement

Talks in taste terms only; no link between choice and brief.

3
Satisfactory

Sound craft with some ability to justify decisions.

4
Very Good

Articulate about why each choice serves the brief.

5
Excellent

Explains specific feedback mappings, latency budgets and artefact handling, and defends why gentle audio cues beat literal EEG graphs for meditators.

03
Evaluation factor

Feedback and iteration

25% weight

Test how they iterate with meditation teachers, neuroscientists and users: moderated sessions wearing headsets, A/B tests on feedback intensity, changes made after users reported striving or frustration.

Evidence to listen for

  • Takes critique without treating it as an attack
  • Distinguishes a subjective preference from a real problem, and says so politely
  • Iterates fast rather than defending version one
  • Delivers files correctly and on time

Five-point scoring guide

1
Poor

Defensive about critique; will not revise.

2
Needs Improvement

Accepts feedback passively; iterations do not improve the work.

3
Satisfactory

Revises willingly; struggles to push back on weak feedback.

4
Very Good

Iterates quickly and can argue for the work when the feedback is wrong.

5
Excellent

Cites concrete redesigns triggered by user testing, such as softening reward cues after sessions showed anxiety or performance pressure.

04
Evaluation factor

Working with the brief

15% weight

Assess how they handle constraints from product, clinical and legal: Bluetooth reconnect edge cases, HealthKit or GDPR handling of neural data, wellness versus medical claim boundaries.

Evidence to listen for

  • Asks about audience and goal before opening the design tool
  • Works with marketing, product, or clients rather than in isolation
  • Flags an impossible brief early
  • Hands over files and assets others can actually use

Five-point scoring guide

1
Poor

Designs in isolation; ignores the brief's purpose.

2
Needs Improvement

Starts designing before understanding the goal.

3
Satisfactory

Asks the right questions when prompted.

4
Very Good

Interrogates the brief up front and hands over cleanly.

5
Excellent

Translates ambiguous wellness goals into scoped specs, flags unsupportable clinical claims early, and works inside SDK and privacy limits.

Evidence-led prompts

Interview questions for a Neurofeedback-Enhanced Meditation App Designer

Use these prompts to surface evidence for the weighted factors above and compare candidates against the same role-specific criteria.

  1. 01

    Can you describe your experience designing wellness or mindfulness applications?

  2. 02

    Can you give examples of apps you designed that used real-time data?

  3. 03

    Have you designed apps that integrate with wearable devices?

  4. 04

    What is your experience designing around biometric feedback?

  5. 05

    What is your process for designing the experience from onboarding onwards?

See the complete Neurofeedback-Enhanced Meditation App Designer question set
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