Three features. One feedback loop.
Bloomder asks short questions on a schedule, reads the answers with AI, and tells you which teams are heading for trouble. That is the whole product — no performance-review suite bolted on.
One page, the whole product
This page maps every part of Bloomder to the survey program it supports: pulse surveys collect the signal, AI insights turn it into a decision a manager can act on, and burnout detection watches the trend so nothing waits for an annual report to surface it. Each card below opens a dedicated page with the full detail — question examples, how the AI writes a summary, what a burnout alert actually contains — but the short version of every feature sits right here, so you can decide which one to read first.
Bloomder is built around one idea: an HR team without a dedicated data analyst should still be able to run a listening program that holds up over time. That shapes every feature on this page. Surveys stay short enough that response rates do not decay after the second or third cycle. AI insights are written in plain language for a manager, not a data scientist, with a recommended action attached rather than a chart to interpret. Burnout detection compares a team only against its own history, so a small team's baseline never gets flattened against a company-wide average that does not describe it.
The three features below are not modules you buy separately — they are one loop. A survey produces a number and a handful of comments; AI reads both together and writes what changed and why; burnout detection watches that number across enough cycles to tell a real trend from one bad week. If you are comparing Bloomder against a bigger HR suite, start with whichever card matches the gap you are trying to close today, then read "How they connect" further down this page to see how the pieces fit once all three are running.
Each feature is also deliberately narrow. Pulse Surveys does not try to be a full performance-review tool, AI Insights does not try to replace a people analyst, and Burnout Detection does not try to diagnose individuals — it flags teams, because that is the level at which a manager can actually act. Keeping the scope tight is what lets each piece stay simple enough for a small HR team to run without dedicated headcount, and it is why the three features described here are the entire product rather than the entry point into a much larger suite. Scroll down for the detail, or jump straight to a card if you already know which gap you're closing.
Built for the HR team that does not have a data team
Each feature works on its own, but they are designed to hand off to each other — surveys produce the signal, AI turns it into a decision, burnout detection watches the trend line.
Pulse Surveys
Automated 3–5 question surveys on a weekly or biweekly cadence. Employees answer in under two minutes, anonymously, from an email link.
- 50+ HR-validated templates
- Set the schedule once, reminders included
- One-time tokens, never stored with responses
- Filter results by department, division or category
AI Insights
Minutes after a survey closes, AI reads every response — including the free text — and writes a plain-language summary with recommended actions per team.
- Team-level scoring, not individual prediction
- eNPS tracked over time
- Anonymous comments summarized, not quoted
Burnout Detection
Tracks workload, energy, recognition and psychological safety across cycles, and flags the teams whose trend lines are breaking from their own baseline.
- Compares each team against its own history
- Alerts name the driving factors
- Signal arrives before the resignation does
- Emails you the moment a team crosses into high risk
Signal in, decision out
Ask
A short survey goes out on schedule. Because it is short and anonymous, response rates hold up week after week — which is what makes the trend line trustworthy.
Read
AI aggregates the numbers and the free text into one summary per team, written for a manager rather than an analyst, with the specific action it recommends next.
Act early
Each cycle is compared against the team’s own baseline, so a decline shows up as a pattern while you can still do something about it.
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