Smart Task Allocation

The right developer for every task.Transparent, scored, auditable.

100-point match score per developer per task. Five factors. Top 5 matches returned with reason bullets. No black box.

The problem

Engineering managers are asked to assign tasks to people in 15-minute sprint-planning slots. The math to do it right - capacity, experience, component familiarity, skill match, current workload - is real. In most teams it gets compressed into 'who's free and who hasn't complained recently.'

  • Over-capacity sprints because utilization is a gut check.
  • Mismatched tasks - seniors on trivial work, juniors on code they've never seen.
  • No audit trail. You can't defend a decision you can't explain.

How it works

Step by step.Nothing behind a curtain.

1

Capacity availability - up to 25 pts

Full credit if remaining capacity ≥ task SP. Partial (10) if some remains. Zero if over-committed.

2

Experience-to-complexity match - up to 20 pts

A 4-by-3 matrix of (experienceLevel, taskComplexity). Senior on simple work loses points. Junior on complex work loses points.

3

Component familiarity - up to 30 pts

30 for 2+ matched components, 20 for 1, 5 for none. The biggest single factor.

4

Skill match - up to 15 pts

15 if ≥75% of required skills match. 10 if ≥50%.

5

Workload balance - up to 10 pts

10 below 70% utilization. 5 between 70–90%. Zero above. Total: 100.

What you get

Specific.Not marketing-department specific.

  • Top 5 developer matches per task, each with a 100-point score.
  • Reason bullets - up to 4 per match, explaining why the score is what it is.
  • Risk scoring. Over-capacity flags at >90% utilization (+25 risk points), 70–90% (+10 risk). Risk rolls into the overall recommendation.
  • Estimated completion time. Base SP × 0.5 days, multiplied by experience (expert 0.7× → junior 1.4×), by risk (up to 1.5×), and by workload (>80% util × 1.3×).
  • Confidence levels tied to data quality and risk, not just score.

Built right

Scored.Sourced.Auditable.

Every match comes with its reason chain - the factors, the weights, the score. Rule-based, not a black-box ML guess. Managers can disagree, override, and see exactly what changed. Implementation depth is best covered live on a call.

Get the architecture deep-dive on a call

Works with

JiraGitHubGitLabAzure DevOpsMondayClickUpHiBobSAP SuccessFactorsOracle HCMSlackMicrosoft TeamsJiraGitHubGitLabAzure DevOpsMondayClickUpHiBobSAP SuccessFactorsOracle HCMSlackMicrosoft Teams

Stop assigning by gut feel.

Private by default. Specific by design. Free for 2 users, forever.