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For owners of delivery risk

Manage the risk a dependency carries.

Every dependency is a bet on another team. Husn tracks which of those bets is going wrong and tells the side that would be hurt, before it is.

Husn reads your tools - never changes them

Dependency risk view3 to know
  • Reporting depends on a data model that Platform has reopened twice this sprint, and the risk on that dependency is now high.
    Risk
  • A dependency rated low last month rose as the upstream team lost two engineers to an incident.
    Changed
  • A chain of three dependencies all rest on a single unstaffed task two teams upstream.
    Watch
21 dependencies assessed - 4 high risk - 1 fragile chain found
The problem

Dependency risk management

A dependency is a risk wearing a friendly name. It looks like a line in a plan, but it is really an exposure to a team you do not control. Most organizations track the line and ignore the exposure, so the dependency that was always going to slip is treated the same as the one that never will, right up until it fails.

  • Dependencies are recorded as facts, not as risks, so none of them carry a likelihood, an owner, or a contingency.
  • Every dependency looks equally safe in a list, which means attention spreads evenly instead of concentrating on the ones likely to slip.
  • The team carrying the exposure is the downstream one, but the signals that the bet is going wrong all live on the upstream team's board.
Why this gets hard at scale

Why dependency risk goes unmanaged

01

Judging the risk in a dependency means knowing how the team you depend on is actually tracking, which is information you rarely have.

02

Risk is dynamic, so a dependency that was low risk last month can become the most likely point of failure without the register changing.

03

Second-order dependencies multiply the exposure, and the compound risk of a chain is invisible when each link is assessed alone.

How Husn helps
Step 01Husn treats each dependency as a risk, reading Jira, Slack, and docs to judge how the team you depend on is actually tracking against the commitment.
Step 02It ranks dependencies by how likely they are to slip and how much depends on them, so attention concentrates where the exposure is highest.
Step 03When a dependency's risk rises, Husn warns the downstream team that carries the exposure, with the upstream signals that drove the change.

Husn reads and reasons, and never changes your tools.

Use cases

Rank the risky ones

See which dependencies are most likely to slip and carry the most downstream weight, so you manage exposure instead of maintaining a flat list.

Warn the exposed team

Tell the downstream team that carries the risk when the upstream signals turn, while there is still time to plan around it.

Find the fragile chain

Surface a chain of dependencies that all rest on a single shaky task, so a compound risk does not stay hidden in the links.

Who this is for

Built for the people who have to keep it all straight.

  • Technical program managers
  • Program management offices
  • Delivery risk owners
  • Heads of engineering
FAQ

Questions, answered.

  • How does Husn assess the risk in a dependency?

    It reads how the team you depend on is tracking across Jira, Slack, and docs, then judges the likelihood of a slip from the live signals rather than a static rating.

  • How does it decide which dependencies matter most?

    Husn ranks them by how likely each is to slip and how much downstream work rests on it, so attention concentrates on the highest exposure.

  • Can it handle risk in a chain of dependencies?

    Yes. Husn follows the chain and surfaces compound risk, so a fragile task several teams upstream shows up as a risk to everything that rests on it.

  • Does Husn change anything in our tools?

    No. It reads only. Husn never edits tickets, sets risk fields, or writes anything back to your systems.

Automatically surface hidden dependencies.

Treat every dependency as the risk it is.

Connect your tools and Husn will rank your dependencies by risk and warn the exposed teams when the odds turn, in about fifteen minutes.