Team Health Intelligence
See your team’s health before it’s too late.
Temvio reads the Jira, Git and HR data your team already produces, and flags the workload and delivery patterns that precede burnout.
Where the two weeks come from.
Workload skew and sprint volatility start moving before completion rates do. Temvio watches the inputs rather than the outcome, so a problem surfaces while there is still room to act on it.
The pilot measured the outcome, not the lead time. Two weeks is the figure we are validating with our first design partners, and we will publish what we find.
Hiring is measured. Everything after it isn’t.
You spend months and a serious budget to hire a strong engineer. From their first day you are running on instinct: one-on-ones, a gut feeling, and the sprint board.
visibility
“I find out too late.”
delivery
“We keep missing sprints, and I can’t say why.”
workload
“One-on-ones don’t scale.”
Burnout builds quietly. Velocity slips for reasons nobody can name. By the time the signal is unmistakable, the resignation letter is already on the table.
Neither tool is wrong. Both are looking at half of it.
Engineering analytics measures the work. Engagement platforms measure the people. Neither explains how workload, delivery and team health pull against each other, which is the half that decides whether a sprint lands.
Engineering analytics
How fast you ship
Employee engagement
How people said they felt
Temvio
Team Health Intelligence
What workload, delivery and team health do to each other.
- Predictive, not retrospective
- Workload skew and sprint volatility start moving before completion rates do. That gap is where the lead time comes from.
- Team-level by design
- Patterns for teams. No individual scores, no leaderboards, no per-developer grades.
- Works with the data you have
- Jira, Git, HR exports, spreadsheets, PDFs, even screenshots. Structured or not.
- Recommendations, not just charts
- A short list of things a manager can actually do this week.
How it works
Four steps. Not an integration project.
- 01
Connect or upload
Connect Jira, Git and your HR system, or drop in an export. CSV, Excel, PDF, screenshots, all read the same way.
- 02
Normalize
Everything is cleaned and mapped into one analytical format, so a spreadsheet and an API feed produce comparable signals.
- 03
Detect
Sprint volatility, workload skew, capacity utilisation and delivery stability are combined into risk indicators.
- 04
Act
You get a short list of contextual recommendations: split an oversized task, rebalance load, rotate ownership, schedule recovery time.
No mandatory integrations. You can get a first read from a single export. No six-week onboarding.
One number your team can act on.
Team Sentinel Score combines workload pressure and delivery stability into a single team-level indicator. It is not a productivity grade, and it ranks no one. It answers a narrower question: is this team drifting toward trouble, and how quickly?
Underneath the number you see what moved it: which signals shifted, in which direction, over what period. No black box, no “the AI decided”.
Platform team, 11 engineers
Last 14 days
−9 in two weeks
Team Sentinel Score, combining workload pressure and delivery stability.
What moved it
- Workload skew+18%
- Sprint volatility+11%
- Capacity headroom−7%
- Review turnaroundflat
Methodology
Not invented for the occasion.
Every indicator traces back to published research on delivery, flow and working conditions. That is what makes a number comparable between two teams, and between one sprint and the next.
- DORA
- Delivery is measured the way the field already measures it — lead time, change failure rate, time to restore — rather than with a house metric invented to flatter us.
- Flow & constraints
- Little's Law, work in progress, batch size, bottlenecks. This is why an oversized task gets flagged before it is late, and why the fix is usually to split it rather than to push harder.
- SPACE
- Productivity is multi-dimensional and must not be scored per person. Our team-level-only rule is not a promise we invented; it is what the framework's authors prescribe.
- Process control
- Ordinary variation is separated from a real change in the process. It is the reason the same signal means the same thing six sprints apart.
- Job Demands–Resources
- Workload and control are conditions of work, and conditions are visible in work data. Temvio reads those. It does not infer anyone's state of mind.
This is not surveillance.
Every tool in this space has to answer one question honestly: are you watching my people? Our answer is architectural, not a promise buried in a policy document.
- Teams, not individuals
- Analysis is aggregated at team level. No individual rankings, no per-developer scores, no “employee of the month” in reverse.
- Metadata, not content
- We read behavioural patterns in work data, not the contents of your messages, code or documents.
- Human in the loop
- Temvio never takes or automates a decision about a person. Every output is advisory and requires a manager’s judgement.
- Your data stays in Europe
- EU hosting by default. On-premise deployment via Docker for regulated customers.
Temvio is designed to operate outside the scope of individual worker monitoring. It reads conditions of work — how much there is, how it is distributed, how much capacity is left, how stable delivery is — and does not infer the emotional or psychological state of any person. The applicable classification under Regulation (EU) 2024/1689 is being confirmed with external legal counsel. Obligations for Annex III systems apply from 2 December 2027 following the AI Digital Omnibus; transparency obligations under Article 50 apply from 2 August 2026.
Evidence
One pilot. Real data. A measurable result.
Before building the platform, we ran the methodology by hand for six months inside a real engineering organisation of roughly 30 people. We pulled task-tracker data, Git activity, HR records and performance feedback, analysed them together, and handed the team a set of recommendations: split oversized tasks, redistribute load, hold focused one-on-ones, schedule recovery time.
Sprint completion over six months, one team of ~30
This is one pilot in one company. Not a benchmark, and not a promise about your team. It is what convinced us to build the product, and it is the number we intend to keep testing with our first design partners.
Where Temvio is different
Most of these you already run, and you should keep running them. This is what each class of tool is built to do, and where Temvio sits.
| Capability | Jira & Git dashboardsyou already have these | Engineering analyticsJellyfish, LinearB, Waydev | Engagement platformsCulture Amp, Leapsome | AI assistantsChatGPT, Claude, Gemini | Temvio |
|---|---|---|---|---|---|
| Delivery data from Jira and Git | Yes | Yes | No | Partial | Yes |
| Workload distribution and spare capacity | No | Partial | No | Partial | Yes |
| How the team is holding up, read from work rather than surveys | No | No | No | No | Yes |
| Team level only, never scored per person | No | No | Yes | No | Yes |
| The same signals computed the same way every sprint | Yes | Yes | Yes | No | Yes |
| Warns about two weeks before completion rates move | No | No | No | No | Yes |
| Works from a single export, no integration required | No | No | No | Yes | Yes |
- Yes
- Partial
- No
Nothing here is a criticism. These tools answer the questions they were built for, and Temvio replaces none of them.
Based on capabilities documented on the vendors’ own product and pricing pages, July 2026.
Published prices. No discovery call required.
Priced per active engineer per month. An active engineer is one with at least one commit in the last 30 days. You never pay for inactive seats.
Founding
Limited€23
per engineer / month
from 5 engineers
For our first 15-20 customers. Rate locked for 12 months, in exchange for working closely with us on the product.
Pro
€36
per engineer / month
from 5 engineers
Core analytics, Team Sentinel Score, integrations, 30-day trial.
Premium
€54
per engineer / month
from 30 engineers
Everything in Pro, plus AI recommendations, unlimited integrations, audit log, transparency dashboard and priority support.
Enterprise
from €73
per engineer / month
from 100 engineers
Dedicated support, custom SLA, on-premise deployment. Quoted individually.
Team
Who’s building this
Four founders across commercial, engineering, operations and HR technology.
Vsevolod VinogradovCEO
Founded and scaled SENSE, an IT recruitment firm, into a national top 10 with operations supporting more than 500 people. Also launched EdTech products ranked top 10 in 65 countries.
LinkedIn
Vladimir ZhelvisCTO
Engineering across SaaS, cybersecurity and blockchain. Previously at AdGuard, a product with more than 30 million daily active users.
LinkedIn
Denis DolzhikovCMO
Over 20 years in technology marketing and growth. As CMO of T1 Holding, a $2.5B technology group, he launched more than 30 B2B and SaaS products and scaled a marketing team past 100 people.
LinkedIn
Vladimir DemchenkovCPO
Fifteen years in HR tech and recruitment. At PeopleLab he lifted monthly hiring capacity five-fold and cut turnover from 24% to 16%.
LinkedIn
Questions we get asked
Find out what your data already knows.
The signals are already in your sprint history and your Git log. The only open question is whether you see them while there is still time to act.