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Custom Reporting Capabilities
Custom Reporting Capabilities

Access the data you need most.

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Written by Pillar Support
Updated this week

Below is a listing of the datapoints that can be leveraged to build a custom dashboard within Pillar. Work with your Pillar partner contacts to get it set up.
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Pillar: Reporting Examples

Overall Interview Stats

  1. Total Duration (minutes/seconds)

  2. Number of Speakers

  3. Total Words Spoken

  4. Average Words Per Minute (WPM)

  5. Number of Questions Asked

  6. Total Pauses (count)

  7. Average Pause Length (seconds)

  8. On time start

Interviewer Stats

  1. Interviewer Talk Time (seconds/minutes)

  2. Percentage of Total Talk Time by Interviewer

  3. Average Question Length (words)

  4. Longest Question (words or seconds)

  5. Shortest Question (words or seconds)

Candidate Stats

  1. Candidate Talk Time (seconds/minutes)

  2. Percentage of Total Talk Time by Candidate

  3. Average Answer Length (words)

  4. Longest Answer (words or seconds)

  5. Shortest Answer (words or seconds)

Turn-Taking Stats

  1. Total Speaking Turns

  2. Average Turn Length (seconds)

  3. Longest Continuous Speaking Turn (seconds)

  4. Shortest Continuous Speaking Turn (seconds)

Content-Specific Stats

  1. Unique Words Used (by any speaker)

  2. Most Frequent Words (excluding stop words)

  3. Number of Sentences

  4. Average Sentence Length (words)

Interaction Stats

  1. Number of Interruptions

  2. Number of Overlapping Speaking Events

  3. Question-to-Answer Ratio (total questions divided by total responses)

Scorecards:

  1. Time to Submit Scorecard: Average time taken (in hours/days) from interview completion to scorecard submission.

  2. On-Time Submission Rate: Percentage of scorecards submitted within the expected time frame (e.g., within 24 hours).

  3. Late Submission Count: Number of scorecards submitted after the deadline.

  4. Completion Rate: Percentage of scorecards fully completed (all required fields filled out).

  5. Partially Completed Scorecards: Number or percentage of scorecards with missing sections.

  6. Skipped Questions Count: Average number of skipped questions per scorecard.

  7. Detailed Feedback Rate: Percentage of scorecards that include detailed written feedback versus minimal responses.

  8. Consistency of Ratings: Measure how often an interviewer’s ratings align with other reviewers (if multiple scorecards exist for the same candidate).

  9. Score Distribution: Evaluate whether the interviewer uses the full range of scores or clusters around certain values.

  10. Average Submission Time: Overall average time for scorecard submission across all interviewers.

  11. Completion Percentage Per Interviewer: Percentage of scorecards completed for interviews assigned to an individual interviewer.

  12. Late Submission Trends: Identify patterns of late submissions (e.g., by interviewer, team, or time of week).

Quality Indicators (after training)

  1. Lexical Diversity: A measure of vocabulary variety (e.g., type-token ratio).

  2. Clarity Scores: Average readability or coherence rating of spoken phrases.

  3. Misunderstandings: Number of clarifications or corrections requested during the interview.

  4. Tone Variability: Frequency and range of changes in speaking tone or pitch.

  5. Open-Ended vs. Close-Ended Questions: Ratio of open-ended to close-ended questions.

  6. Follow-Up Questions: Count of follow-up or probing questions.

  7. Leading Questions: Number of questions with embedded bias.

  8. Engagement Triggers: Number of times interviewer references candidate’s prior statements.

  9. Self-Corrections: Number of times the interviewer or candidate corrects or revises their question or answer.

  10. Collaborative Statements: Count of statements that acknowledge or build upon the other speaker’s input.

Agreement Instances: Number of times a candidate agrees or aligns with a point made.

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