Provide PDL flat file deliveries monthly instead of quarterly.

Provide PDL users an avenue for pointing out data that is inaccurate in some way and a method improving data quality & coverage. Additionally, this would help the PDL team identify potential trends in data coverage earlier than otherwise would have been the case.

Expose a data attribute or attributes that help an HR platform determine if a candidate is likely to change jobs soon. Examples might include: 1) Have they recently updated text in their resume? 2) Have there been layoffs at their company? 3) Has their manager departed the org? 4) Have they been at the company for longer than their average tenure at a company?

Webhook that pushes candidates when PDL believes they are likely to change jobs

In order to predict how likely a company is to need new recruiting tools, track the # of recruiters at the company. We currently track the "human_resources" role, but this is not specific enough since a recruiter and a HR hire serve very different roles.

Provide the company Github URL and data within the Company Schema. For example, http://github.com/apple for Apple

Allow pushing of updates to profiles via webhooks

Create a preferred_number field - a phone number that has highest probability of being current.

Since names are put in lowercase for searching, it makes displaying names with abnormal capitalization difficult. For example acme co cannot become Acme CO with a simple Title Case or proper capitals of Coeur D'Alene, ID or Coeur D'Alene Street is not easy without inside knowledge.

The challenge currently is that a lot of company and industry categorization seems antiquated and non-specific. One example given by a user was a company like Stripe might be categorized as just a bank and thus miss out on the fact that they're primarily known as a Financial Technology Startup. Providing more detailed and modern signals about a company and its field would drive more insights on the people that work at them and their experience.