Is Tenhaw a competitor to Jellyfish?

They overlap but serve different primary purposes. Jellyfish is an engineering analytics and reporting platform that observes your existing tools. Tenhaw is a delivery intelligence platform where teams actually work. Tenhaw replaces your delivery tool; Jellyfish supplements it.

Can I use Jellyfish and Tenhaw together?

You could, but there would be significant overlap. Tenhaw provides executive-level delivery dashboards, value tracking, and forecasting natively. If you switch to Tenhaw, you may find you no longer need Jellyfish's reporting layer.

Does Tenhaw provide the same executive visibility as Jellyfish?

Tenhaw provides executive dashboards showing value delivered, delivery confidence, and team health across the organisation. Where Jellyfish shows time allocation, Tenhaw shows outcomes - which is typically what CTOs and boards actually want to see.

What is Jellyfish used for?

Jellyfish is an engineering management platform that provides executive-level visibility into engineering investment, developer activity, and how engineering work aligns to business priorities.

Is Jellyfish good for engineering leaders?

Jellyfish is designed specifically for VP Engineering and CTO personas who need to report on engineering allocation and investment. It is strong on executive dashboards but less focused on helping teams improve their delivery practices.

How does Jellyfish compare to Tenhaw?

Jellyfish focuses on engineering analytics and executive reporting, while Tenhaw combines delivery intelligence with actionable tools like outcome-driven backlogs, Monte Carlo forecasting, and 11 AI workers. Tenhaw also provides dedicated product engineers per customer rather than self-service onboarding.

What are the limitations of Jellyfish?

Jellyfish is primarily a reporting and analytics layer, so it does not manage backlogs or drive delivery decisions directly. Some users report that its developer activity tracking can feel surveillance-oriented, which can impact team trust.

How much does Jellyfish cost?

Jellyfish does not publish pricing publicly and uses custom enterprise contracts. It is typically sold to organisations with 100+ engineers, so pricing reflects that enterprise positioning.

Does Jellyfish do delivery forecasting?

Jellyfish provides trend analysis and allocation insights but does not offer probabilistic delivery forecasting like Monte Carlo simulations. It tells you where time was spent rather than when work will be done.

Can Jellyfish track team health?

Jellyfish tracks developer activity metrics and can surface signals about workload, but it does not provide structured team health tracking in the way that Tenhaw does with dedicated health monitoring and AI-driven insights.

Is Jellyfish a replacement for Jira?

No. Jellyfish sits on top of tools like Jira, GitHub, and calendars as an analytics layer. It reads data from these systems but does not replace them for day-to-day work management.

Does Jellyfish measure developer productivity?

Jellyfish measures engineering investment and allocation rather than individual developer productivity. However, its activity-level tracking can be perceived as productivity monitoring, which is a consideration for engineering culture.

Tenhaw vs Jellyfish

Jellyfish reports on engineering. Tenhaw delivers outcomes.

Built by delivery leaders from

How does Tenhaw compare to Jellyfish?

Jellyfish is an engineering management platform that provides visibility into how engineering teams spend their time, aligning engineering investment with business priorities. It's valuable for engineering leaders who need to justify headcount and demonstrate alignment. But Jellyfish is an observation tool - it reports on what happened. Tenhaw is a delivery tool - it actively drives better outcomes through AI, forecasting, and team health.

What Jellyfish does well

We believe in honest comparisons. Here's where Jellyfish genuinely excels:

Strong engineering investment visibility and reporting
Good alignment between engineering work and business priorities
Useful executive-level dashboards for CTOs
Integration with git, Jira, and other engineering tools
Helpful for justifying engineering headcount

Tenhaw vs Jellyfish: A detailed comparison

How the two platforms compare across the capabilities that matter most to delivery leaders.

Active Delivery vs Passive Reporting

tenhaw

Tenhaw is where your team works - backlogs, boards, forecasts, AI workers. It actively improves delivery by embedding intelligence into the workflow. Outcomes are tracked as work happens, not reported after the fact.

Jellyfish

Jellyfish observes your engineering tools (Jira, GitHub, etc.) and reports on how time is spent. It's valuable for executive reporting but passive - it watches delivery happen rather than improving it. Teams still need a separate delivery tool.

Outcome Tracking vs Time Allocation

tenhaw

Tenhaw tracks the business value of what was delivered in £/$. Every piece of work traces to a measurable outcome. You know the ROI of your engineering investment, not just where time was spent.

Jellyfish

Jellyfish categorises engineering time into investment categories (features, maintenance, support, etc.). This shows where time goes, but not the value it produces. Knowing 60% of time goes to features doesn't tell you the ROI of those features.

Monte Carlo Forecasting vs Historical Analysis

tenhaw

Tenhaw forecasts future delivery with Monte Carlo simulations. "85% chance we ship by March 15" is an answer leadership can plan around.

Jellyfish

Jellyfish analyses historical engineering patterns - where time was spent, how it aligns with priorities. But historical analysis doesn't predict future delivery dates. Jellyfish looks backward; Tenhaw looks forward.

11 AI Workers vs Engineering Insights

tenhaw

Tenhaw's AI workers actively improve delivery - writing stories, detecting blockers, predicting risk, and prioritising backlogs. They don't just report; they act.

Jellyfish

Jellyfish provides AI-powered insights into engineering activity patterns. These are valuable for understanding trends, but they don't actively improve delivery. Insights without action require humans to close the loop.

Feature-by-feature comparison

A comprehensive look at what each platform offers across delivery intelligence, AI, and project management.

Delivery Intelligence

Feature	Tenhaw	Jellyfish
Outcome-driven backlogs
Value delivery tracking (£/$)
Monte Carlo forecasting
Risk prediction (AI)
Team health tracking

Engineering Analytics

Feature	Tenhaw	Jellyfish
Engineering time allocation
Investment categorisation
Git activity analysis
Executive engineering dashboards
Business alignment reporting

AI & Automation

Feature	Tenhaw	Jellyfish
12 delivery AI workers
AI blocker detection
AI story writing
AI activity insights
AI trend analysis

Why delivery leaders switch from Jellyfish to Tenhaw

Jellyfish reports on delivery

Tenhaw improves it. Observing where engineering time goes is useful, but it doesn't change outcomes. Tenhaw's AI workers, forecasting, and health tracking actively drive better delivery.

Time allocation isn't value measurement

Knowing 60% of time goes to features doesn't tell you the ROI. Tenhaw tracks business value in £/$, connecting engineering effort to business outcomes.

Historical analysis doesn't predict the future

Jellyfish shows where time was spent. Tenhaw forecasts when work will be delivered using Monte Carlo simulations.

Teams need a delivery tool, not just a reporting layer

Jellyfish sits on top of Jira or similar tools. Tenhaw replaces the delivery tool entirely - backlogs, boards, forecasts, and AI workers in one platform.

Team health requires more than time data

Jellyfish can show who's working overtime, but that's not psychological safety. Tenhaw tracks wellness comprehensively and correlates it with delivery performance.

Switching from Jellyfish is easier than you think

Every Tenhaw customer gets a dedicated product engineer assigned to their account. Not a support agent. Not a chatbot. A real engineer who joins your calls, migrates your data, and ensures you get value from day one.

Create your sandbox

Enter your website and get a free workspace pre-loaded with sample data. See the platform in minutes, not weeks.

Your engineer migrates your data

Your assigned Tenhaw engineer imports your Jellyfish projects, backlogs, and team data. They handle everything. Zero effort from your team.

Go live with zero downtime

Your team keeps working in Jellyfish until the cutover. No disruption. No data loss. Your engineer stays on-call through the transition.

Full transparency

We're a startup. That's your advantage.

Tenhaw is a new company, and we treat every customer like our most important one - because you are. You get direct access to the founding team, a dedicated product engineer on your account, and a platform that evolves based on your feedback. No ticket queue. No 6-month feature request cycle. We build what you need, fast.

See how we protect your data →

See what delivery intelligence actually looks like

Real-time operational intelligence, AI insights, and team health - all in one screen. This is what Jellyfishcan't show you.

app.tenhaw.com/operations-intelligence

Team Health

4.2/5

Risk Exposure

Low

Quality

92%

Delivery Flow

On Track

Team Health Trends

Collaboration

Pace

Autonomy

Mission

Risks & Issues3 active

●

API vendor contract renewal due

High impact

●

CI pipeline intermittent failures

Med impact

●

Design system migration blocked

Med impact

Delivery Flow

Sprint 1Sprint 12

Velocity trending up 12%

AI Insight

"Review stage is your bottleneck. Tickets spend 2.3x longer there than any other stage."

Frequently asked questions

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