Solutions/Team Leads & Managers
Track your team's performance, and help them grow
You're accountable for how your whole team performs, not just for getting reviews done on time. Workspark gives you continuous visibility into what each person is delivering, keeps their OKRs current, and turns review time into a real development conversation with AI coaching, instead of a paperwork exercise.
See what your team did, without the end-of-cycle scramble
Direct reports log accomplishments continuously, and you see every entry across your whole team in one feed as it comes in, not just when a review deadline forces the question. By the time you sit down to write, the evidence is already there.
The same record is useful outside of reviews too: reference it in 1-on-1s or when you are putting together a case for someone's next promotion.
Every OKR your team owns, on one screen
Progress and confidence for each of your team's OKRs are laid out together: what's on track, what's at risk, and how far along each one actually is. Regular check-ins keep the numbers current, so you're reading real status, not whatever was true a few weeks ago.
That's a status update you can get in the time it takes to open a tab, instead of one you have to schedule a meeting to collect.
Revenue Growth
AI review suggestions
Real-time coaching while you write, not a blank box
As you write a review, an AI assistant reads it and points at specific improvements: where to add evidence, where a claim needs sharpening, where a rating doesn't match the written feedback. Strengths and growth areas are tagged against a library of core competencies, so recognition and development both land on something concrete.
For manager reviews specifically, the assistant also checks your assessment against the self-review and any peer or upward feedback, so nothing important gets missed.
An engagement trend for your team, not the whole company
As a manager, you see survey summaries, trend charts, and anonymized comments scoped to your own reporting line, not a single company-wide number that doesn't tell you anything about your people specifically.
Because the question set is fixed every cycle, you get a trend for your team you can actually act on, not a one-off snapshot you look at once and move on from.
Frequently asked questions
How much time does this actually save on writing reviews?
Two things add up. First, you're not starting from a blank page: accomplishments logged throughout the cycle are already surfaced in the review editor, so you don't have to reconstruct six months of work from memory. Second, AI quality suggestions point at specific gaps as you write, instead of you catching them in a second or third editing pass.
Does the AI write the review for me?
No. It reads what you have written and suggests specific improvements, where to add evidence, where a claim needs sharpening, where a rating and the written feedback do not line up. The writing is still yours. The assistant just shortens the distance between a first draft and a strong one.
I have several direct reports with peer and upward reviews configured. Do I have to read every single one?
Not to get the full picture. Workspark generates an AI summary of all inbound peer and upward feedback for each reviewee, organised by theme with notable quotes attached. You can see the patterns at a glance, and open any individual review when you want the full detail.
How do I get visibility into what my team did without asking around?
Team members log accomplishments continuously, and as their manager you can see your direct reports' accomplishments as they're logged, not just at review time. That same record is useful outside of reviews too, in 1-on-1s and career development conversations.
What are strengths and growth areas tagged against?
A library of core competencies, things like accountability, collaboration, and problem solving. Tagging observations against the same framework across cycles builds a through-line that makes development conversations easier to have.
