Recruitment Data Powerpoint Ppt Template Bundles

Definitely start with time-to-fill and cost-per-hire - those are your bread and butter. Quality of hire is trickier to measure but super important. I'd also track which sources actually work (spoiler: it's probably not the expensive job board you think it is). Candidate experience scores are underrated honestly - word gets around fast about companies with terrible processes. Don't forget offer acceptance rates and how long people stick around based on where you found them. Oh, and first-year retention by source tells you everything about whether you're fishing in the right ponds. These basics will show you exactly where you're hemorrhaging money.

So recruitment analytics basically shows you where candidates are bailing out of your process. Track stuff like application completion rates, interview stage drop-offs, that kind of thing. You'll probably find some weird surprises - I know one company thought their application was super quick but it actually took like 45 minutes on phones (yikes). Map out your whole candidate journey first, then focus on fixing the top 3 spots where people disappear. The data will also tell you which touchpoints candidates actually care about vs. what you think they want.

Look at your hiring data from the past 6 months - you'll probably be shocked at what you find! Track where people are dropping out of your pipeline and which sources actually bring in diverse candidates. Application rates, interview-to-offer ratios, all that stuff. It's crazy how the numbers tell a completely different story than what you think is happening. Plus leadership loves seeing actual proof that your initiatives aren't just feel-good nonsense. Set some realistic goals based on what you discover. Trust me, having solid data makes those budget conversations way easier.

Check which sourcing channels actually produce hires, then focus your energy there. Time each step of your process - I bet you'll find weird delays like scheduling taking forever for no reason. Look at what separates your best hires from the duds so you can recognize good candidates quicker. The smart move? Use your hiring data to predict which roles will be nightmares to fill. Start recruiting for those early instead of panicking when someone gives notice. Honestly, most companies are just flying blind when they could be way more strategic about this stuff.

Track the basics first - time-to-hire, where your best candidates come from, quality scores, drop-off rates. Most teams drown in data they never look at (been there). Automate what you can so you're not constantly entering stuff manually. Get hiring managers using the same scorecards - trust me, consistency matters way more than you'd think. Don't pull random reports every week. Look at quarterly trends instead. Build dashboards that actually tell you a story about what's broken and what's crushing it. Then tweak things based on what you find.

Look at your old hiring data to see what actually worked. Which job boards brought in people who stuck around? How long did it take to find your best employees? Honestly, most companies just wing it instead of checking this stuff. You can spot patterns in successful candidates and copy those sourcing strategies. The data also reveals if you're accidentally passing over good people from certain backgrounds - happens more than you'd think. Track where your top performers came from originally. It's way better than guessing what'll work next time.

Dude, AI totally changes the recruitment game. Resume screening becomes automatic - no more drowning in hundreds of applications. It can actually predict which candidates will crush it based on your past hiring wins and losses. Plus it catches bias patterns you'd never spot yourself (honestly, this part blew my mind). Machine learning optimizes your job posts too and flags when candidates might bail during the process. The real MVP move though? Getting back all that time you'd waste on initial screening. Now you can focus on the good stuff - actually talking to people who might be perfect for the role instead of just... paperwork hell.

Okay so basically you need explicit consent before grabbing any candidate info, and you can't use it for random stuff they didn't agree to. Bias is probably the biggest headache - your screening tools might accidentally screw over certain groups, which is illegal in a lot of places. Data security's another nightmare waiting to happen. You're sitting on personal info that could wreck someone's life if it leaks. Regular bias checks are smart. Also, actually delete old applications when you're supposed to instead of hoarding everything forever like most companies do.

Look at which positions stay open forever - that's your biggest clue. Data analyst roles sitting there for months? Your team's missing those skills. Check why you're rejecting candidates too, honestly that's where the good intel is. If everyone's getting turned down for the same technical stuff, there's your gap right there. I also track how often we hire externally vs promoting from within. Always going outside usually means we suck at developing people internally (oops). Keep a running list of your nightmare-to-fill positions and what skills they need. Makes the pattern super obvious.

For bigger companies, Greenhouse and Lever are solid - Workday too if you're into that whole enterprise thing. BambooHR's pretty decent for smaller teams, and JazzHR won't break the bank. Honestly though? If you're just starting out, don't overthink it. Airtable works fine, hell even a good spreadsheet can do the job. The main thing is getting everyone to actually use whatever you pick - I've seen teams blow money on fancy systems that just sit there. Try a couple free trials first, see what doesn't annoy your hiring managers.

Look at your old job postings and see which ones actually brought in good people who got hired. Check stuff like how many applied, quality of candidates, how long it took to fill the role. The posts that worked best? Those are gold for writing future ones. Here's what's interesting though - dig into which specific skills you mentioned that matched up with people who crushed it after getting hired. You'll probably find some surprises about what actually mattered vs what you thought did. Use all that to tweak your language and figure out what's truly required versus just nice to have.

Honestly, start with performance ratings and retention rates - those tell you if people are actually crushing it or bailing after a few months. Time-to-productivity is huge too (like, how long before they're not asking a million questions?). Manager satisfaction scores matter since they're dealing with your hires daily. Track promotions within reasonable timeframes as well. Pull about 12-18 months of data and break it down by where you found people - certain job boards or recruiters might be goldmines. The patterns usually jump out pretty quick once you dig into it.

Honestly, tracking your sourcing channels is like having a crystal ball for recruiting. Tag every single candidate with where they came from - otherwise you're just throwing money around blindly. LinkedIn might fill roles fast, but those job board candidates could stick around longer (been there!). Look at quality, time-to-hire, retention rates across each channel. The data will surprise you sometimes. First thing though - check if your ATS is actually capturing this stuff consistently. Half the battle is just making sure you're not losing that source info somewhere along the way.

So basically, drop-off rates tell you where candidates are bailing on your hiring process. Maybe your application takes forever to fill out, or people aren't hearing back quickly enough. When I first started tracking this stuff, I was shocked at how many people we were losing at the interview scheduling stage - turns out our calendar system was a nightmare. Look at different roles and time periods to see patterns. Short sentences here work better. Once you figure out the problem spots, you can fix those specific steps instead of wondering why good candidates keep disappearing on you.

So recruitment data is basically your hiring crystal ball. Pull the last two years and look for patterns - time-to-fill, which sources work, seasonal trends, all that stuff. You'll spot which roles are nightmares to fill and where your best people actually come from. Honestly, the forecasting gets pretty addictive once you dig in. Use it to plan timelines and budget for recruiting resources. Oh, and catch skill gaps before they screw you over - that's the real goldmine. Some companies ignore this stuff but the data doesn't lie.