Frequently Asked Questions & Tutorials

To login to your account:

1. Go to the Ongig Login page or visit talent.ongig.com.
2. Type in your email under the Username section.
3. Type in your password.
4. Click the blue Login button.

To reset your password:

1. Go to the Ongig Login page or visit talent.ongig.com.
2. Click “Reset Password” under the Login Button.
3. Enter your email address and Click “Send Password Reset Link” button.
4. Check Your Email and follow the directions.

*If you don’t receive the email, check your Spam folder.

Text Analyzer scores the text of your job descriptions using our proprietary algorithm.

The Total Score is based on a combination of:

• Gender Neutrality
• Readability
• Job Title
• Total Length of Job Description
• Additional Criteria

Zero is the lowest score and 100 is the best. A good rule-of-thumb is that a Total Score of less than 50 is poor; 51 to 80 is good and 81 to 100 is great.

The Gender Score uses Ongig's proprietary database of words known to attract men versus women -- and tells you the % of words of each in your jobs. Most employers are trying to attract more women. In that case, we recommend you get at least 50% of your words to be feminine-coded.

If you're trying to attract more men for all or certain roles, please request a consultation call with your Ongig Client Success Rep.

Adding a New User

1. Log In To Ongig

2. Click Settings Tab

3. Click the Team tab

4. Click +Add Team Member button

5. Type Email address and Select Role of User

6. Click Send Emails

*Role Permissions are as follows:

1. Viewer: Can view job descriptions but not edit
2. Editor: Can view and edit job descriptions but not mass-import/export jobs
3. Administrator: Can do everything - view, edit, import, export, and add users

Deleting a Masculine Word

Ongig’s Text Analyzer tool makes recommendations to remove gender bias from your job descriptions to help you attract top talent.

To change a masculine-biased word to a gender-neutral word, click on the red underline word and choose from our gender neutral recommendations in the pop-up window.

If you can’t find a suitable replacement, we recommend either deleting the word completely or rewriting the sentence to omit the word.

Readability Score

Ongig's Text Analyzer software scores job descriptions for readability (as well as gender bias, racial bias and more).

Pay close attention to the "Grade Level" # in Text Analyzer.

To increase your Readability Score, you want to lower your grade level of writing. This might seem counter-intuitive, but the best candidates are busy and want you to write in very Plain English (not in an intellectual/long-winded style).

Write your job postings at 8th grade or lower readability and watch your Readability Score soar!
(see our article here: Why I Write my Job Postings at the 8th Grade Reading Level (or Lower!) ).

A couple of key tips:

• Use shorter words
• Use shorter sentences
• In general, be punchy. These are ads. Not operating manuals!

Tagging a Recruiter

Tag a recruiter to a job by editing the Job Details section at the top of each job in the Text Analyzer tool.

1. Click on “Show Additional Fields” in the job form.

2. Select the recruiter from the drop down in the Recruiter section.

The Success Metrics are determined in your launch call of Text Analyzer. Together, we outline goals and benchmarks to ensure your teams' efforts are aligned with the overall goal of your leadership.

You access your company’s personalized success metrics by clicking on the Success Metrics tab at the top of the Text Analyzer Tool.

To make it easy to see how you're doing versus goal, we also provide your Total Score and Gender Score in the Success Metrics tab.

Text Analyzer flags adverbs under the “wording” tab to assist you in making your job descriptions stronger and better written.

Adverbs are words that modify verbs, adjectives and other adverbs. Most adverbs end in "ly" but other adverbs include well, fast, hard and late. Most adverbs should be avoided because they make the sentence longer and redundant.

For instance, you don't need to use an adverb like "actively" in this sentence:

The Customer Support lead actively supports 25 customers per day.

You don't have to remove every adverb from your job descriptions. Text Analyzer shows you what % of adverbs is healthy (see below).

By keeping your adverb usage in our recommended range and aiming for 100% Adverb Score, you will improve your Job Score.

Text Analyzer flags words and phrases that might be exclusionary. By exclusionary, we mean that they might make a person or group feel excluded. These exclusionary words often hurt your job description apply rate because they narrow your candidate pool. Some exclusionary words could also get you a discrimination lawsuit.

Here are some categories of exclusionary words with examples:

• Gender (e.g. salesman)
• Race (e.g. master/slave database architecture)
• Age (e.g. "we're looking for a "recent graduate")
• Disability (e.g. if you use the phrase "stand" or "sit", you might turn off a person who works in a wheelchair and does not have the ability to stand and sit).

It's best to avoid exclusionary words in your job descriptions so you are more inclusive to candidates.

Ongig’s Text Analyzer flags exclusionary words and often provides inclusive synonyms to replace them.

It's best to avoid exclusionary words in your job descriptions so you are more inclusive to candidates.

If an exclusionary word appears in your job descriptions, it'll show up in two places:

1. The Exclusionary tab (pictured below)

and on...

2. The individual job page (in the inline editor -- pictured below)

For more information on exclusionary words, read our blog post, A List of Offensive (Exclusionary) Words Used in Job Descriptions and our 10 Tips for Recruiting People with Disabilities in Job Descriptions.

Sorting Job Scores Based on Recruiter

Go to the Dashboard tab and click on the Recruiter sub-tab to sort the scores based on your recruiters. This action allows you to see how recruiters' scores compare to each other for things like Total Score, Gender Bias and readability.

Note: this feature is available only if you're sharing the names of recruiters (by job) with Ongig. Don’t see your recruiters listed? See How Do I Tag a Recruiter to a Job?

Adding a New Job from a Microsoft Word Document

If you have a job description saved as a Word document, you can easily upload it to Text Analyzer to get it scored.

1. Click +New Job and then click the Upload .docx File button

2. Select the MS Word file to upload and click "Open"

3. Once the job is uploaded, it will be scored automatically and ready for editing.

To Add/Change a Job Location:

1. Click Edit Text under the All Jobs tab.

2. Click Show Additional Fields to display the Job Details section of the job.

3. Type or Edit the location.

Click Edit Text under the All Jobs tab to make changes to your job Reminder: If you don't see your jobs listed when you click All Jobs you might try clicking the Draft or Live sub-tabs.

You can edit the job based on gender bias, wording, and readability to increase the overall total job score to reach your success metrics.

Add new job descriptions manually by free form typing or using copy+paste.

1. Click +New Job on left navigation pane to open a blank job form.

2. Fill in the job title and job description box.

3. [Optional] Click “Show Additional Fields” and fill in extra fields. Note: The more information you provide in this section, the more metrics you’ll have on the dashboard.

4. Click the Publish Button. If you don’t click the Publish button, your job will still save. You’ll find it under the Drafts subtab in the All Jobs view.

Sorting Jobs by Recruiter:

Sort jobs by each tagged recruiter under the All Jobs tab to see how the recruiters’ individual jobs are scored. This allows you to sort an individual recruiter’s job description scores.

Tagging a Hiring Manager

Tag a hiring manager to a job by editing the Job Details section at the top of each job in the Text Analyzer tool.

1. Click on “Show Additional Fields” in the job form.

2. Type the hiring mangaer's name into the Hiring Manager section

By tagging the hiring manager, you can view the score breakdown for each by clicking on the Hiring Manager tab on the “Dashboard”.

Text analyzer helps remove gender bias in a few ways: