Interview scorecard template

Director of Technical Operations interview scorecard

Evaluate Director of Technical Operations candidates across 4 weighted areas: record of outcomes, strategic judgement, building and leading teams, and influence across the business. Record of outcomes leads at 35%, so ask for owned uptime numbers, MTTR reductions, and infrastructure cost per unit; check they ran real budgets, vendor contracts, and headcount. Use the rubric to compare role-specific evidence consistently.

See AI scoring
leadership strategyinfrastructure budgetsretechnical operationsuptime sla
TL;DR
For record of outcomes, look for evidence the candidate cites specific availability targets met, MTTR cut with dates, and cloud or datacentre spend reduced while scaling volume. For strategic judgement, look for evidence the candidate explains a build versus buy or migration call with the cost model, risks accepted, and how the outcome was later measured. 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

Record of outcomes

35% weight

Ask for owned uptime numbers, MTTR reductions, and infrastructure cost per unit; check they ran real budgets, vendor contracts, and headcount across NOC, SRE, or field operations.

Evidence to listen for

  • Names organisations, budgets, and headcount they were actually accountable for
  • Gives outcomes with numbers, not initiatives with adjectives
  • Separates what they drove from what the market or a predecessor did
  • Can describe something they owned that failed

Five-point scoring guide

1
Poor

Titles and initiatives only; no accountable outcomes.

2
Needs Improvement

Claims results the organisation would have had anyway; no scope clarity.

3
Satisfactory

Real accountability with some numbers; attribution occasionally generous.

4
Very Good

Clear scope and measured outcomes, including an honest failure.

5
Excellent

Cites specific availability targets met, MTTR cut with dates, and cloud or datacentre spend reduced while scaling volume.

02
Evaluation factor

Strategic judgement

25% weight

Probe how they chose between building tooling and buying platforms, when they paid down technical debt, and how capacity plans were set against demand forecasts.

Evidence to listen for

  • Explains a decision where the options were genuinely close and the information incomplete
  • Can say what they chose not to do and why
  • Distinguishes a bet from a certainty
  • Changes course on evidence rather than defending a position past its life

Five-point scoring guide

1
Poor

Frameworks and slogans; no real decision they can walk through.

2
Needs Improvement

Describes decisions made elsewhere; cannot state the trade-off.

3
Satisfactory

Sound judgement on familiar decisions; less tested on ambiguous ones.

4
Very Good

Walks a genuinely close call, states what they gave up, and changed course on evidence.

5
Excellent

Explains a build versus buy or migration call with the cost model, risks accepted, and how the outcome was later measured.

03
Evaluation factor

Building and leading teams

25% weight

Look for hiring and retaining on-call engineers, managers they promoted, sane rotation and escalation design, and how burnout or attrition was addressed.

Evidence to listen for

  • Has hired, developed, and where necessary removed people
  • Names someone who grew under them and what they did to cause it
  • Handles an underperformer directly rather than waiting it out
  • Builds a team that functions when they are not in the room

Five-point scoring guide

1
Poor

No real people leadership; avoids difficult personnel decisions.

2
Needs Improvement

Managed a team but cannot describe developing or exiting anyone.

3
Satisfactory

Competent manager; development is informal.

4
Very Good

Demonstrable record of growing people and handling underperformance directly.

5
Excellent

Names engineers grown into leads, describes a rotation redesign, and shows attrition or on-call load improving under their tenure.

04
Evaluation factor

Influence across the business

15% weight

Test how they negotiated SLAs and roadmap trade-offs with product, security, finance, and customers, especially during outages or postmortems with executive visibility.

Evidence to listen for

  • Wins support from peers and boards without positional authority
  • Translates their function into terms the rest of the business cares about
  • Delivers unwelcome news early
  • Manages up without either capitulating or stonewalling

Five-point scoring guide

1
Poor

Relies entirely on authority; conceals bad news.

2
Needs Improvement

Struggles to influence peers; communicates in function-specific jargon.

3
Satisfactory

Works adequately with peers and leadership.

4
Very Good

Persuades peers and boards on merit and delivers bad news early.

5
Excellent

Describes an incident review that changed company priorities, with clear evidence of engineering, product, and executive buy-in.

Evidence-led prompts

Interview questions for a Director of Technical Operations

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

  1. 01

    What is your experience managing a technical operations team?

  2. 02

    Can you discuss implementing a strategic plan for technical operations?

  3. 03

    Can you provide an example of a challenging technical programme you led?

  4. 04

    Can you describe a critical decision you made under pressure?

  5. 05

    Can you discuss your experience with risk management and recovery planning?

See the complete Director of Technical Operations question set
Put this rubric to work

Score every candidate against the same standard

Add these weighted factors to Hirevire and let AI evaluate recorded answers against your rubric.

Explore AI Scorecards