Averil / Readiness Engine

How close am I to the role I want?
Show your work.

A readiness score should not be a vibe. Averil shows which signals were used, where they came from, how recent they are, and how much trust to place in them. It works across software, data, product, ops, business, and customer roles, not just software.

the math

What goes in. What comes out.

No black box. Every score is a function of inputs you can see, weighted by confidence we publish.

inputs
Resume / LinkedInprofile
Projects + portfolio3 verified
Job postings15M/day
Outcome historylive
Your goals + constraintsyou set this
readiness engine
Weighted scoring,
confidence-aware.
5 signal layers · 12 weights · transparent math
outputs
Readiness score (per role)0-100
Confidence rating0.0-1.0
Signal breakdownexplained
Next-move recommendationactionable
Timeline estimatehonest
sample report

A full report, unredacted.

Anonymized but otherwise real. This is what you get for every target role, whether that role sits in software, ops, product, data, or customer work.

readiness report · target role

Customer Success Operations Manager · mid-level

amina.bello@email.com · profile · 2026-05-24 · refreshed 2h ago
67%
confidence: 0.79 · med-high
summary
Averil's reasoningCustomer context, renewal ownership, and cross-team coordination transfer well to a customer success operations role. The missing signals are reporting depth, cleaner systems ownership, and one visible workflow improvement. The fastest move is a 10-day customer health dashboard sprint. Confidence is med-high because the role family is common and the market signal is recent.
signal breakdown
Customer relationship ownershipprofile · 5y
86
Renewal process designprofile · live
74
CRM hygieneprofile · Salesforce
69
Dashboard reporting proofportfolio · one live sprint
42
SQL / BI fluencymarket · 61% of postings
21
Systems ops ownershipmarket · 54% of postings
28
recommended next move · conf 0.79

10-day customer health dashboard sprint

Pull together renewal risk, usage, and support notes into one weekly view a team lead could actually use. Save the dashboard and the short writeup. That closes the two biggest gaps and gives you proof you can use in outreach.

expected lift: +19 pts · time-to-impact: 10 days · prerequisite signals: yes
market context · confidence sources
analyzed 428 customer-success-ops postings · last 30 days · US + EU remote
median ask CRM hygiene · lifecycle reporting · automation workflows · SQL/BI (47%)
salary band $95K-$125K base · stretch $138K · regional adjust applied
demand trend stable, +6% YoY · refreshed 2 hours ago
confidence

When Averil isn't sure, it says so.

Every score comes with a confidence rating from 0 to 1. We would rather tell you we do not know than fake a number.

Confidence bands

0.85 - 1.0 · high
Solid score, strong evidence

Multiple signal sources agree, all recent. Act on it.

0.65 - 0.85 · med-high
Reliable, minor gaps

The shape is right. Specific weights may shift as you ship more.

0.40 - 0.65 · medium
Directionally true, treat as estimate

We're piecing it together from limited evidence. Treat it as a starting point, not a verdict.

< 0.40 · low / unknown
Don't trust this score

You will see not enough signal or a wide error band instead of a fake number.

The 5 signal layers

L1
Canonical knowledge

Official docs, vendor RFCs, certifications, and release notes. The bedrock that doesn't move.

L2
Market signal

Live read of postings, salary bands, and stack demand, weighted by recency.

L3
Career-path intelligence

How people actually move between roles. Real transitions, not generic ladders.

L4
Outcome feedback

Replies, interviews, offers, and rejection reasons. The system gets less wrong every week.

L5
Your state

Goals, constraints, location, availability, and financial urgency. The plan fits you.

faq

About the score itself.

What is the score made of?

A weighted blend of your profile signals, market signals, career-path data, outcome feedback, and your goals or constraints. Every input is published with its weight.

Is this only for software roles?

No. The readiness model covers software, data, product, ops, business, customer, and similar paths. It is not built for licensed fields like medicine or regulated engineering tracks.

Why is my confidence sometimes low?

Usually because profile data is thin, the target role is unusual, or the market segment is moving quickly. Adding one or two real proofs usually lifts confidence.

Can the score go down?

Yes. If the market shifts or new signals matter more than the ones you currently show, the score drops and the missing evidence is named.

One score.
The honest one.

Get a real readiness report for the role you want, with the math shown and the next move named clearly.