The sample text
Results-driven marketing professional with over five years of experience in digital strategy, brand management, and campaign optimization. Proven track record of increasing engagement and driving measurable growth. Skilled in leveraging data analytics to inform strategic decisions and optimize marketing performance. Adept at leading cross-functional teams and managing multiple projects simultaneously. Passionate about creating innovative marketing solutions that align with business objectives.
What the local engine measured
| Statistic | Value |
|---|---|
| Words | 63 |
| Sentences | 5 |
| Average words per sentence | 12.6 |
| Sentence-length variation (CV) | 0.23 |
| Vocabulary ratio (unique / total words) | 0.87 |
| Repeated sentences | 0 |
| Estimated reading time | 0.28 min |
What this does and does not show
Recruiters have grown wary of resume summaries built almost entirely from stacked buzzwords: "results-driven," "proven track record," "leveraging data analytics." Those phrases are common in AI-suggested resume templates and in years of human resume-writing advice, which predates any chatbot. A vocabulary-variety statistic can flag a summary that leans heavily on generic adjectives and abstract nouns rather than specific numbers or projects.
The sample above has no sentence repetition, but relies on five dense, adjective-heavy sentences without a single concrete metric or example. If your own summary reads similarly, the more useful edit is adding one real number (a percentage, a team size, a dollar figure) per sentence, which naturally increases the passage’s vocabulary variety and gives an interviewer something specific to ask about.
Open this passage in the live tool
Source: TextClueCheck local evidence engine, run on this page's own sample text at build time (2026-09-25). Not an AI-authorship probability.