Application intelligenceSample data

Backend Software Engineer

Northstar Labs·Sep 14, 2026PKT-2A7A67Needs evidence

Explore an illustrative packet. Changes here are temporary; build your own to save a local demo. Build your own →

Role fit score

50%

Needs positioning

Requirements covered

6 / 8

Supported by your evidence

Strong evidence

Requirements with strong proof

Critical gaps

Required evidence missing

Packet review

0 / 8

Sections marked reviewed

What the role needs. Where you’ve proved it.

Job requirementsMatched evidence

8 of 8 requirements

strongmoderateweakmissing

How your role-fit score is calculated

Requirements receive priority weights: required 1.00, responsibility 0.80, preferred 0.55, implied 0.35, and unknown 0.40. Coverage uses 75% of the best match, 20% of the second, and 5% of the third.

55.7 weighted coverage − 4 critical gap penalty − 1.5 evidence adjustment = 50%

The score describes supplied evidence coverage. It does not predict hiring outcomes. Marking a gap addressed records your review; it does not create new proof or raise your score.

Turn your mapped proof into your next application.

Evidence inspectorREQ-01

Selected requirement

Experience building REST APIs with Python and Django.

RequiredStrong

Weighted evidence coverage81%

Source evidence / 3

Resume84%

Built REST APIs with Python and Django for a customer support platform serving 12000 users.

pythondjangorestapi

SupportDesk API79%

Built REST APIs with Python and Django for support ticket routing.

pythondjangorestapi

Resume40%

Skills: Python, Django, PostgreSQL, SQL, Docker, Git.

pythondjango

Why this matches

Shared terms: python, django, rest, api. An action is explicitly described, with a supplied metric. Score combines keyword, entity, phrase, type, action, metric, and source evidence.

Show scoring components

keyword overlap0.75

exact entity match1.00

phrase similarity0.67

type compatibility1.00

action evidence quality1.00

metric quality1.00

source relevance1.00

recency score0.00

Suggested resume bullet

Built REST APIs with Python and Django for a customer support platform serving 12000 users.

Interview preparation

Describe your contribution to this example. Explain the problem, decisions you made, and outcomes you can verify. Keep unverified results out of your answer.

Add project proof

Application intelligenceSample data

Backend Software Engineer

Northstar Labs·Sep 14, 2026PKT-2A7A67Needs evidence

Explore an illustrative packet. Changes here are temporary; build your own to save a local demo. Build your own →

Role fit score

50%

Needs positioning

Requirements covered

6 / 8

Supported by your evidence

Strong evidence

Requirements with strong proof

Critical gaps

Required evidence missing

Packet review

0 / 8

Sections marked reviewed

What the role needs. Where you’ve proved it.

Job requirementsMatched evidence

8 of 8 requirements

strongmoderateweakmissing

How your role-fit score is calculated

Requirements receive priority weights: required 1.00, responsibility 0.80, preferred 0.55, implied 0.35, and unknown 0.40. Coverage uses 75% of the best match, 20% of the second, and 5% of the third.

55.7 weighted coverage − 4 critical gap penalty − 1.5 evidence adjustment = 50%

The score describes supplied evidence coverage. It does not predict hiring outcomes. Marking a gap addressed records your review; it does not create new proof or raise your score.

Turn your mapped proof into your next application.

Evidence inspectorREQ-01

Selected requirement

Experience building REST APIs with Python and Django.

RequiredStrong

Weighted evidence coverage81%

Source evidence / 3

Resume84%

Built REST APIs with Python and Django for a customer support platform serving 12000 users.

pythondjangorestapi

SupportDesk API79%

Built REST APIs with Python and Django for support ticket routing.

pythondjangorestapi

Resume40%

Skills: Python, Django, PostgreSQL, SQL, Docker, Git.

pythondjango

Why this matches

Shared terms: python, django, rest, api. An action is explicitly described, with a supplied metric. Score combines keyword, entity, phrase, type, action, metric, and source evidence.

Show scoring components

keyword overlap0.75

exact entity match1.00

phrase similarity0.67

type compatibility1.00

action evidence quality1.00

metric quality1.00

source relevance1.00

recency score0.00

Suggested resume bullet

Built REST APIs with Python and Django for a customer support platform serving 12000 users.

Interview preparation

Describe your contribution to this example. Explain the problem, decisions you made, and outcomes you can verify. Keep unverified results out of your answer.

Add project proof