Problem Interview Discovery Question Bank

Query actual bounded independently approved discovery-question bank by exact topic, preserving supplied text instead of inventing interview claims. Caller independently verifies policy, evidence, dates and applicability; not legal/compliance advice or causal business-success prediction.

Description

Problem interviews use questions grouped by the issue being explored.

Problem interviews use questions grouped by the issue being explored.1

Retrieving questions from a caller bank preserves its topic labeling rather than generating or evaluating interview prompts. Use this tool to retrieve the supplied interview questions for an exact caller topic.

When to use Problem Interview Discovery Question Bank

Use this tool to retrieve the supplied interview questions for an exact caller topic. Establish the business period, event definitions, jurisdiction or agreement edition, and independently documented evidence or comparison rubric.

How to use Problem Interview Discovery Question Bank and understand its results

  1. Establish the business period, event definitions, jurisdiction or agreement edition, and independently documented evidence or comparison rubric.
  2. Enter callerVerifiedQuestionIds, callerQuestionTexts, callerQuestionTopicIds, queryTopicId, using the field meanings and rules below, then run the tool.
  3. Read matchedQuestionIds, matchedQuestionTexts. Interpret the fields using their units, signs and evidence conventions below.
  4. If input validation fails, correct the reported field and run again. Before applying the result, check reference scope, model assumptions and any missing evidence or placeholder values.
Input fieldMeaningValue typeRequirement
callerVerifiedQuestionIdsCaller verified question ids; caller assertion or measurement requiring independent evidencelist of stringRequired
callerQuestionTextsCaller question textslist of stringRequired
callerQuestionTopicIdsCaller question topic idslist of stringRequired
queryTopicIdQuery topic idstringRequired

Enter nonempty unique question IDs with aligned question texts and topic IDs, then an exact query topic that occurs in the list. Return IDs and texts for that topic in caller order. The IDs are nonblank; texts and topic values are supplied strings and are not subjected to the notice helper's nonblank rule. No installed bank, generation or question-quality analysis is provided.

matches={i:topicId_i=queryTopicId}; output=ids/texts at matching positions

Use the exact units, boundary rules, ordering and missing-evidence conventions above.

Output fieldMeaningValue type
matchedQuestionIdsMatched Question Ids; follow the units, sign, ordering and evidence convention stated abovelist of string
matchedQuestionTextsMatched Question Texts; follow the units, sign, ordering and evidence convention stated abovelist of string
json
{
  "input": {
    "callerVerifiedQuestionIds": [
      "a",
      "b"
    ],
    "callerQuestionTexts": [
      "Describe the last time this happened.",
      "What workaround did you use?"
    ],
    "callerQuestionTopicIds": [
      "incident",
      "workaround"
    ],
    "queryTopicId": "workaround"
  },
  "output": {
    "matchedQuestionIds": [
      "b"
    ],
    "matchedQuestionTexts": [
      "What workaround did you use?"
    ]
  }
}

Limitations and assumptions

Retrieving questions from a caller bank preserves its topic labeling rather than generating or evaluating interview prompts. Interpretation depends on the units, sampling scope and exact model described above.

All listed fields require explicit values. Unexpected fields, incorrect types, nonfinite numbers and sparse evidence arrays fail validation; the specific bounds and alignment requirements are stated above. Extremely large inputs or outputs can also be rejected. An input error is distinct from a successful result reporting false, no matches or missing evidence.

Alternative or Complementary methods

Use Mom Test Rules Question Checker for this related task: Interview-question quality can be annotated for past specificity, leading language and hypothetical purchase framing.

Use Idea Validation Problem Solution Fit Checklist when its separate inputs and assumptions fit the question: Idea validation separates observations about a problem from evidence for a proposed solution.

References

  1. Problem Interview Discovery Question Bank — tool.io

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