What is your opinion about top executives at companies getting their employees involved in the decision-making process?
The flat hierarchy interms of decision making in company is quite ubiquitous now-a-days. Instead of top-down decision making, employees are heard while making company decision. I think this is good practice for mainly two reason. The company gets different perspective during the process and letting employees take part in decision making helps comapny to gain their trust that will help to retain them for longer years .
First, the better decision can be made after looking into the matter in many different ways. Bringing in people from different teams inside company will give multiple insights on the problem. This will direct company bosses to make better decision. For example, my company took a poll about working environment experience and many people voted for adding air purifier as top priority. As the result of adding air purifier in office area, some of my colleagues allergies related dust got cured. Therefore, keeping employees in decision making loop will forward to company to make better decision.
Second, including employees in decision making tree provides employees helps company to retain people in long run. This will bring trust between employees and company. This is helpful interms of retaining employees in company for long time. Since onboarding people in company is one of the costly process, this kind of act performed by companies reduces the people leaving the companies. Therefore, I believe involving people of company in decision making will boost the relationship between company and employee by giving them proper recognition.
To conclude, inclusive decision making process helps the company to make better decision and also to retain people in company longer years.
Grammar and spelling errors:
Line 1, column 420, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Don't put a space before the full stop
Suggestion: .
...ill help to retain them for longer years . First, the better decision can be ma...
^^
Line 3, column 73, Rule ID: NUMEROUS_DIFFERENT[1]
Message: Use simply 'many'.
Suggestion: many
...e made after looking into the matter in many different ways. Bringing in people from different...
^^^^^^^^^^^^^^
Transition Words or Phrases used:
also, first, if, look, second, so, therefore, while, as to, for example, i think, kind of
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 6.0 10.5418719212 57% => More to be verbs wanted.
Auxiliary verbs: 7.0 6.10837438424 115% => OK
Conjunction : 5.0 8.36945812808 60% => More conjunction wanted.
Relative clauses : 1.0 5.94088669951 17% => More relative clauses wanted.
Pronoun: 13.0 20.9802955665 62% => OK
Preposition: 42.0 31.9359605911 132% => OK
Nominalization: 3.0 5.75862068966 52% => More nominalizations (nouns with a suffix like: tion ment ence ance) wanted.
Performance on vocabulary words:
No of characters: 1449.0 1207.87684729 120% => OK
No of words: 268.0 242.827586207 110% => OK
Chars per words: 5.40671641791 5.00649968141 108% => OK
Fourth root words length: 4.04607285448 3.92707691288 103% => OK
Word Length SD: 2.50837653623 2.71678728327 92% => OK
Unique words: 144.0 139.433497537 103% => OK
Unique words percentage: 0.537313432836 0.580463131201 93% => More unique words wanted or less content wanted.
syllable_count: 441.9 379.143842365 117% => OK
avg_syllables_per_word: 1.6 1.57093596059 102% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 7.0 4.6157635468 152% => OK
Article: 3.0 1.56157635468 192% => OK
Subordination: 2.0 1.71428571429 117% => OK
Conjunction: 0.0 0.931034482759 0% => OK
Preposition: 3.0 3.65517241379 82% => OK
Performance on sentences:
How many sentences: 16.0 12.6551724138 126% => OK
Sentence length: 16.0 20.5024630542 78% => The Avg. Sentence Length is relatively short.
Sentence length SD: 38.8005718386 50.4703680194 77% => OK
Chars per sentence: 90.5625 104.977214359 86% => OK
Words per sentence: 16.75 20.9669160288 80% => OK
Discourse Markers: 5.5625 7.25397266985 77% => OK
Paragraphs: 4.0 4.12807881773 97% => OK
Language errors: 2.0 5.33497536946 37% => OK
Sentences with positive sentiment : 11.0 6.9802955665 158% => OK
Sentences with negative sentiment : 2.0 2.75862068966 72% => OK
Sentences with neutral sentiment: 3.0 2.91625615764 103% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.33185307376 0.242375264174 137% => OK
Sentence topic coherence: 0.125432998795 0.0925447433944 136% => OK
Sentence topic coherence SD: 0.085332578236 0.071462118173 119% => OK
Paragraph topic coherence: 0.236557993663 0.151781067708 156% => OK
Paragraph topic coherence SD: 0.0466719824881 0.0609392437508 77% => OK
Essay readability:
automated_readability_index: 12.4 12.6369458128 98% => OK
flesch_reading_ease: 55.24 53.1260098522 104% => OK
smog_index: 3.1 6.54236453202 47% => Smog_index is low.
flesch_kincaid_grade: 9.5 10.9458128079 87% => OK
coleman_liau_index: 13.8 11.5310837438 120% => OK
dale_chall_readability_score: 7.79 8.32886699507 94% => OK
difficult_words: 57.0 55.0591133005 104% => OK
linsear_write_formula: 7.5 9.94827586207 75% => OK
gunning_fog: 8.4 10.3980295567 81% => OK
text_standard: 8.0 10.5123152709 76% => OK
What are above readability scores?
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Rates: 72.7777777778 out of 100
Scores by essay e-grader: 65.5 Out of 90
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Note: the e-grader does NOT examine the meaning of words and ideas. VIP users will receive further evaluations by advanced module of e-grader and human graders.