Free template · Sales / CS
Performance review template for a sales operations analyst
A ready-to-use, section-by-section template with the competencies that matter for a sales operations analyst, role-specific example phrases, and a guard against the stock filler that makes most reviews read as generic. Copy the structure, fill in your evidence, or skip the writing entirely with Crestento.
The template
Four sections, in this order. Length should match the evidence you have — a thin section is honest; an invented paragraph is not.
Summary
One or two paragraphs setting the context: what was expected of sales operations analyst this period, and your overall verdict. Lead with the headline.
Example phrasing
“Rebuilt the forecast model that took team forecast accuracy from 84% to 96%, ran the Q3 territory redesign covering 22 reps without a quota-attainment dip, and delivered the weekly pipeline dashboard now used in the leadership stand-up.”
Strengths
The behaviours and outcomes that made the work happen. Anchor in evidence: forecast accuracy of the model the analyst owns, data-quality score on CRM core objects, reporting-cadence completion rate.
- Evidence for: CRM data hygiene and pipeline integrity.
- Evidence for: forecast modelling and accuracy.
- Evidence for: territory and quota planning support.
- Evidence for: sales reporting and dashboard ownership.
Areas for Growth
Forward-looking development edges. Frame as opportunities, not deficiencies. Specific behaviours to develop, not generic sales operations analyst criticism.
- One pattern observed across the period.
- One specific behaviour to develop.
- One concrete next step.
Goals for the Next Period
Two or three concrete goals. Each should name a specific behaviour change, a measurable target, and a deadline. Avoid vague aspirations.
Competencies to evaluate
The 7 competencies a strong sales operations analyst review structures around, in priority order. Use these as the spine of the Strengths and Areas for Growth sections.
- CRM data hygiene and pipeline integrity
- forecast modelling and accuracy
- territory and quota planning support
- sales reporting and dashboard ownership
- commission and compensation operations
- tooling administration (CRM, sales engagement, forecasting)
- cross-functional partnership with finance, marketing, RevOps
Before you write
Sales Ops Analysts make the sales organisation possible. They keep the pipeline trustworthy, the forecasts honest, the territories balanced, and the commission cycle clean. The work is invisible when it goes well and very visible when it breaks. Strong analysts make sales leadership's decisions easier; weak analysts produce reports nobody trusts and require reps to do their own forecasting by hand.
Evidence to gather
Strong reviews for a sales operations analyst cite evidence of these shapes. Only use a specific value (a percentage, a count, a dollar amount) if you actually have it — don’t invent a number to sound concrete.
- forecast accuracy of the model the analyst owns
- data-quality score on CRM core objects
- reporting-cadence completion rate
- territory / quota plan delivered on time
- commission cycle accuracy (zero errors is the bar)
- tooling uptime and ticket-resolution metrics
Where to find the evidence
Work products a sales operations analyst produces. Reference these by name in the review when they’re relevant — it signals you know the work.
- forecast model (the underlying spreadsheet / tool)
- weekly pipeline / forecast dashboard
- territory plan documents
- quota allocation models
- commission calculation worksheets
- data-hygiene audit reports
- ad-hoc analysis decks for leadership
Phrasing that lands vs phrasing that doesn’t
Strong — specific, evidenced, role-appropriate
“Rebuilt the forecast model that took team forecast accuracy from 84% to 96%, ran the Q3 territory redesign covering 22 reps without a quota-attainment dip, and delivered the weekly pipeline dashboard now used in the leadership stand-up.”
Weak — vague, unevidenced, generic
“Strong analyst on the sales operations team.”
Phrases to never use
Stock filler that AI-written sales operations analyst reviews slip into. Managers spot it instantly. Rewrite to name a specific behaviour instead.
- “strong analyst”
- “data-driven mindset”
- “great with numbers”
- “passionate about analytics”
- “go-to person for reporting”
- “trusted partner to sales leadership”
- “consistently delivers insights”
Don’t invent these specifics
The details an AI tends to fabricate for sales operations analystreviews. If you don’t have the specific number, name, or date in your notes, leave it out — generic-but-honest beats specific-but- invented every time.
- specific forecast accuracy improvements not in input
- named tooling implementations (Salesforce, Looker) not mentioned
- specific territory or quota redesign details not provided
- named leadership stakeholders the analyst supports
- specific reporting cadence frequencies not in input
- data-quality scores or metrics not quantified
Skip the template, generate the review
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