How the 0–100 score works
What the AI looks at, how the number maps to a readiness level, and what the score can and cannot tell you.
How an answer is scored
When you answer, Offermic first works out what kind of question it was: behavioral, technical, situational, an introduction, a motivation question, or strengths and weaknesses. Each type has its own five criteria. An AI model (currently Google Gemini) reads the question, your answer and, when you added them, your resume and the job posting, and rates each criterion. Those ratings roll up into one score from 0 to 100.
It then writes feedback in three parts: what worked, what to improve, and a rewrite of your answer in the structure that fits the question. The rewrite keeps your story; it does not invent a new one.
The five criteria per question type
Behavioral
STAR structure, Specificity, Measurable impact, Relevance, Authenticity
Technical
Accuracy, Depth, Problem solving, Communication, Practical application
Situational
Judgment, Reasoning, Stakeholder awareness, Creativity, Feasibility
Introduction
Structure, Relevance, Conciseness, Engagement, Positioning
Motivation
Authenticity, Company knowledge, Alignment, Enthusiasm, Specificity
Strengths and weaknesses
Self-awareness, Specificity, Evidence, Relevance, Growth
What the number means
| Excellent | 80–100 |
|---|---|
| Good | 60–79 |
| Fair | 40–59 |
| Needs work | 0–39 |
| Ready | 80–100 |
|---|---|
| Almost ready | 65–79 |
| Needs practice | 45–64 |
| Needs significant work | 0–44 |
Letter grades: A 93–100, A- 90–92, B+ 87–89, B 83–86, B- 80–82, C+ 77–79, C 73–76, C- 70–72, D 60–69, F 0–59. A full interview also gets category scores for communication, technical and behavioral answers.
The six answer structures
Each question type has a structure the rewrite follows. These are the definitions the app uses.
- STAR
Situation, Task, Action, Result
Behavioral questions ("Tell me about a time…")
- SPAR
Situation analysis, Proposed approach, Action plan, Expected results
Situational questions ("What would you do if…")
- PPF
Present, Past, Future
Introductions ("Tell me about yourself")
- PEI
Point, Example, Impact
Strengths and weaknesses
- WHW
Why, What, How
Motivation ("Why this role?")
- PREP
Problem, Reasoning, Example, Practical
Technical questions, explained conceptually
Note: in Offermic, PREP means Problem, Reasoning, Example, Practical, a structure for explaining technical ideas. It is not the Point, Reason, Example, Point structure that public-speaking guides call PREP.
What the score cannot tell you
- It is an AI judgement, not a human panel. The rubric has not been validated against real hiring decisions.
- The same answer can score a few points differently on another run. Watch the trend, not a single number.
- A high score means a clear, well-structured, specific answer. It does not predict whether you get the job.
- Technical questions check how you explain your thinking. They do not test code.
We change the rubric when we find it rewarding the wrong things. Found a score that looks off? Email support@offermic.com with the question and your answer.