The sales 1:1 questions worth asking live in the CRM, not in a Lattice template.
Most sales performance reviews run on gut feel plus a Lattice template filled in the night before. Strkr pulls the review questions directly from the pipeline hygiene, forecast accuracy, activity ratios, and deal velocity sitting on each rep's record.
Sales managers run three cadences of review and most of them break the same way. Weekly 1:1s burn 30 minutes on "what did you work on this week" because the manager has not pre-read the rep's pipeline. Monthly pipeline reviews run 90 minutes with the full team watching a shared screen while two reps actually get coaching. Quarterly performance reviews land as a Lattice or 15Five template filled Sunday night with questions pulled from a generic SaaS template that could have been written for a bakery. The data to run every one of these as a real conversation sits in the CRM: pipeline aging, forecast-to-actual accuracy over the last 4 quarters, call-to-meeting ratio by rep, email-to-reply ratio, deal velocity by stage, win rate against the segment benchmark, quota attainment across the last 6 quarters. The manager who runs the review from this data instead of a template moves the needle on the one metric that matters: rep retention of the top quartile.
The gut-feel 1:1
A 30-minute conversation on vibes instead of pipeline.
The weekly 1:1 opens with "how are you feeling about the quarter" and burns 15 minutes on commentary before anyone looks at a pipeline. By the time the manager pulls up the deal board, the rep has already shaped the narrative, and the coaching window is 10 minutes on the deals the rep wants to talk about. The right conversation would open on pipeline-hygiene flags surfaced from the CRM: stalled deals in Discovery over 21 days, forecast commits with no activity in 7 days, deal size outliers that failed stage-gate validation. Strkr surfaces these as the agenda before the meeting starts.
The Clari forecast call without context
A number without a trajectory is not a forecast conversation.
Clari forecast calls get a point estimate for each rep: committed, best case, worst case. The number has no trajectory because the Clari surface shows the current call, not the delta from last week or the accuracy history over the last 8 cycles. The manager accepts the commit or renegotiates it on vibe. Strkr tracks forecast-to-actual accuracy per rep per quarter rolling 8 cycles and surfaces the rep's historical over- or under-commit bias as the context for the call, which is what Clari-plus-15Five never ties together.
The 90-minute pipeline review that decides nothing
Six reps watching two reps get coaching is a waste.
The Monday team pipeline review runs 90 minutes across 6 reps, which means each rep gets 15 minutes of airtime. In practice, two reps hog 40 minutes on complicated deals and four reps get 5 minutes each. The meeting ends with no decisions on the stalled deals and the Bridge Group SDR benchmark showing the team at 61 percent of top-quartile pipeline velocity. Strkr runs pipeline review as individual async pre-reads with the stalled-deal list, the aging buckets, and the stage-gate flags attached, so the live meeting is 30 minutes on three deals that actually need the team.
Lattice templates built for engineering
Generic review questions do not fit a sales rep arc.
Lattice and 15Five ship review templates that work for engineering and product teams but miss the sales context: ramp-period expectations, quota attainment history, deal mix shift, pipeline health trajectory, forecast reliability, activity-to-outcome ratios. The sales manager either hacks the template or fills it with generic questions that could have been asked at a bakery. Strkr ships sales-specific review templates with questions auto-populated from the CRM data per rep, which is what SPIFF commission conversations and HubSpot Reports exports to PDF were trying to approximate.
Self-assessment vs manager view divergence
The rep says Exceeds; the pipeline says Needs Development.
The quarterly review opens with the rep's self-assessment, which usually lands at Exceeds Expectations across every dimension. The manager comes in with a different view, often grounded in pipeline hygiene flags and forecast misses the rep did not surface. The conversation turns adversarial because the data arrives mid-meeting. Strkr pulls the rep's self-assessment and the manager's data-driven view into the same template before the meeting so the divergence is visible and specific, with the pipeline evidence attached to the dimensions where the two views differ.
HubSpot Reports export to PDF for review
The report builder caps break the review prep cycle.
HubSpot Report Builder caps at 5 custom reports on Marketing Hub Starter and 100 on Professional, with filter depth that stops at 10 criteria. Salesforce Reports exports to PDF for review prep, which freezes the data at a point in time and loses the ability to drill into the deal. The manager prints the PDF, red-pens it, and hands it to the rep. Strkr runs review prep as a live view linked to the CRM so the manager drills into any flagged deal from the review surface in two clicks, which the PDF-handoff pattern cannot support.
What a data-driven sales review looks like
The question set, auto-populated per rep.
A review question driven from CRM data is specific to the rep, the stage, and the trajectory. "Why did your Discovery-to-Qualified conversion drop from 42 percent to 28 percent over the last two quarters" beats "how are you feeling about pipeline" every time. The capability cards below ship inside Strkr on every paid tier and run from the CRM data the team already keeps.
Pipeline-hygiene flags per rep
The weekly 1:1 agenda writes itself.
Every Monday morning the 1:1 prep view opens with per-rep pipeline-hygiene flags: stalled deals (no activity in N days by stage), aging deals (over the segment median by stage), stage-gate failures (missing required fields), forecast commits without recent activity, close-date pushes rolling into the quarter. The manager opens the meeting with the five flags and the rep walks through each. The 1:1 runs 30 minutes with 25 minutes of coaching instead of 15.
Forecast accuracy per rep per quarter
The rolling-8 cycle view of commit-to-actual.
The forecast accuracy report tracks each rep's commit, best case, worst case, and actual landed revenue across the rolling 8 quarters. The view surfaces each rep's structural bias (over-committer, under-committer, best-case gambler) and the trend direction. The forecast call opens with "Marcus, you have been committing 15 percent high the last 4 quarters, let's calibrate," which is a different conversation than "what's your commit."
The ratios surface per rep: call-to-meeting-booked, email-to-reply, meeting-to-opportunity, opportunity-to-close. The weak link in the funnel is visible per rep. A rep at 18 percent email-to-reply but 11 percent meeting-to-opportunity is a rep whose discovery conversation needs coaching, not whose top of funnel needs more activity. The Bridge Group SDR benchmark overlays as the comparison line, which gives the review a defensible frame.
Deal velocity by stage per rep
Where this rep slows down relative to the team.
The deal velocity surface shows median days per stage per rep against the team median and the segment benchmark. A rep whose Discovery median is 8 days when the team median is 14 may be rushing qualification, which shows up as a lower win rate at the close stage. A rep whose Proposal median is 32 days when the team median is 18 is stalling on the negotiation, which drives the targeted coaching question.
Win-rate against segment benchmark
The honest comparison, not the leaderboard.
Win rate per rep broken down by segment (SMB, mid-market, enterprise) and by competitor-displaced versus greenfield. The leaderboard version of win rate hides the segment mix: a rep running an SMB-heavy book shows 42 percent win rate while a rep running enterprise shows 22 percent, and both are at the segment benchmark. The segment-adjusted view is the honest comparison and the right basis for the "where should Marcus be coached up" conversation.
Attainment history over 6 quarters
The arc, not the single-quarter point.
The attainment history view shows each rep's quota attainment across the last 6 quarters with the trend line visible. A rep at 85 percent this quarter after six quarters at 110 percent is a different conversation than a rep at 85 percent after six quarters at 72 percent. The first is a trend investigation; the second is a performance plan. The manager runs the review on the arc, not the point.
OKR tie-in
Rep OKRs mapped to CRM evidence.
The rep's quarterly OKRs ("close 3 enterprise logos," "lift win rate on competitive displacements by 5 points," "run a stage-gate review on every deal over $100K") map to CRM evidence surfaced on the review prep view. The quarterly review opens on each OKR with the CRM data attached, not with a Lattice freetext box. SPIFF commission conversations and MBO payouts align to the attached evidence.
Deal-health scoring
The red-flag deals surfaced before the pipeline review.
Every open deal runs a health score composed of recency of activity, stage-gate completion, forecast-commit alignment, buyer-side engagement signal, and competitor presence. The red-flag deals surface in the pipeline review pre-read with the specific flag attached. The team meeting runs on the 3 deals that need the team, and the other 14 handle themselves. Monday pipeline review drops from 90 minutes to 30.
Each rep sits on a performance arc with CRM-driven signals: ramp (first 90 days, specific-ramp attainment targets), performer (consistent attainment with upward trend), plateau (consistent attainment, flat trend), decline (two consecutive quarters below benchmark), departure risk (specific signal patterns including activity drops and 1:1 cancellation rate). The right review question for a performer differs from the right question for a decline, which is the shape no generic template handles.
The question set, mapped to the review cadence
Weekly, monthly, quarterly, each with its own template.
The sales manager runs three review cadences and each needs a different question set. Lattice and 15Five ship one performance review template per cycle. Strkr ships a question set per cadence that pulls the specific CRM evidence into the surface. The cards below are the actual questions and the data behind them.
Weekly 1:1 question set
What flagged on your pipeline this week.
The weekly 1:1 opens on the five pipeline flags for the rep: stalled deals, aging deals, stage-gate failures, forecast commits without recent activity, close-date pushes rolling in. Questions: "Which of these three stalled deals do you have a plan for by Friday?" "What is the next step on the Acme deal that has not had activity in 11 days?" "You committed Acme and Beacon this week; neither has had a buyer-side touch since Thursday. Walk me through what you are seeing."
Monthly pipeline review question set
Where is the funnel breaking versus last month.
The monthly pipeline review runs on the activity-to-outcome ratios and the stage-conversion deltas versus the prior month. Questions: "Your Discovery-to-Qualified conversion dropped from 42 to 28 percent, what changed in qualification?" "Your meeting-to-opportunity ratio is below the Bridge Group benchmark, how is discovery running?" "The Proposal median on your book is 32 days against a team median of 18, what is slowing down negotiation?"
Quarterly performance review question set
The arc, the OKRs, and the development plan.
The quarterly review opens on the attainment arc and the OKR evidence. Questions: "You hit 85 percent this quarter after six at 110 percent plus; what shifted in the territory?" "Your OKR to close 3 enterprise logos landed at 2; walk me through the Acme deal that pushed." "Your competitive-displacement win rate lifted 7 points; what did you change in the differentiation story?" The template fills from CRM data and the manager edits the free-text before the meeting.
Ramp review question set
First-90-day questions tied to ramp targets.
A new rep in ramp runs on a specific question set: activity volume versus the ramp target, discovery call quality (recorded calls flagged for review), stage-gate adherence, forecast calibration against the manager's own commit. Questions: "Your Week-6 outbound activity is at 72 percent of the ramp target; what is slowing the top of funnel?" "You committed Acme at $45K; the stage data says $18K is more likely. What are you reading from the buyer?" The ramp review is a different template than the plateau review, which is the shape generic tools miss.
Departure-risk conversation question set
The signals exist before the resignation.
Departure-risk signal patterns include activity drops over the last 30 days, 1:1 cancellation rate, forecast commit confidence drops, discovery call volume drops, and LinkedIn-profile edit frequency (where surfaced from third-party data providers). When the pattern lands, the review question set shifts to the "stay interview" shape: "What is the one thing we could change that would make the next quarter better?" "Where do you see your career going in the next 12 months?" "What is pulling your focus off the book?" The question set is deliberately not the same as the ramp or performance review.
Performance improvement plan question set
The specific gap, the specific plan, the specific review date.
A PIP review opens on the specific CRM evidence for the gap: two consecutive quarters below benchmark, specific stage-conversion weakness, specific activity ratio below the team median. Questions: "The gap we are closing is X with a target of Y by the specific date. Which 3 deals on your pipeline right now are the path there?" "What support do you need from me on the discovery-call coaching?" "What are the specific indicators we check at the 30-day, 60-day, 90-day reviews?" The question set is grounded in the data and the plan, not in the generic Lattice template.
What this changes for the sales manager daily motion
The weekly rhythm on Strkr versus the Lattice-plus-HubSpot-Reports default.
The sales manager cares about three things: the top-quartile reps stay engaged, the middle quartile moves up, and the departure risk is caught before the resignation. The jobs below are where the Strkr approach changes the daily rhythm versus the generic performance-review template default.
Monday 1:1 prep in 10 minutes
The agenda writes itself from pipeline flags.
The sales manager opens the 1:1 prep view at 8 AM Monday. The five pipeline flags per rep are visible per direct report. The manager reads them, drops two coaching notes, and the agenda is set. The 10-minute prep replaces the 45-minute Lattice-plus-HubSpot-pipeline-plus-notes-doc routine that most managers never actually complete, which is the recurring reason 1:1s drift into vibes-based conversations.
Monday pipeline review in 30 minutes
The team meeting runs on the 3 deals that need the team.
The Monday team pipeline review opens with the deal-health red flags across the team. Each rep did the individual pre-read async before the meeting. The live 30 minutes runs on the 3 deals that actually need the team: multi-threaded enterprise negotiations, competitive-displacement cliff-hangers, strategic logos. The other 14 deals get handled in the async layer. The 90-minute meeting becomes a 30-minute meeting.
Forecast call with structural bias context
The commit conversation starts with the rep's accuracy history.
The weekly forecast call opens with each rep's rolling-8-quarter commit-to-actual accuracy. Marcus the over-committer gets a different calibration conversation than Sarah the under-committer. The 15Five-plus-Clari-plus-notes pattern that most teams run does not thread accuracy history to the current commit, which is why the forecast conversation feels adversarial instead of calibrating.
Quarterly review that lands as a conversation
The data arrives before the meeting; the meeting is about the plan.
The quarterly review template auto-populates from the CRM: attainment arc, OKR evidence, win-rate by segment, activity ratios, forecast accuracy, deal velocity. The rep sees the surface a week before the meeting and prepares the self-assessment on the same evidence. The meeting runs as a conversation about the plan for next quarter rather than a reconciliation of the data. The sales manager asks "Lattice took 2 hours this quarter and the quarterly review took 20 minutes" with specific numbers to back up each dimension.
Departure-risk signal before the resignation
The pattern surfaces 60 to 120 days before the exit.
The departure-risk signal pattern (activity drops, 1:1 cancellation rate, forecast commit confidence drops) surfaces 60 to 120 days before the actual resignation in roughly 70 percent of departures the pattern was tested against. The manager has a stay-interview conversation 90 days out, not an exit-interview conversation 2 weeks out. The top-quartile retention outcome is the one metric where the review-process improvement actually moves money.
Rep performance arc shapes the question set
The ramp question differs from the plateau question.
The question set runs by performance arc: ramp, performer, plateau, decline, departure risk. A ramp rep gets activity-volume and discovery-quality questions. A plateau rep gets career-development and stretch-assignment questions. A decline rep gets specific-gap and support questions. A departure-risk rep gets stay-interview questions. The template differentiation is the shape Lattice and 15Five do not ship because the arc data lives in the CRM, not in the review tool.
Head-to-head
Strkr vs Lattice + HubSpot Reports for sales reviews.
The most common tooling pattern for sales performance reviews is Lattice (or 15Five) for the review template plus HubSpot Reports or Salesforce Reports for the pipeline data, reconciled in a notes doc the night before. Here is the honest head-to-head when the question is "review questions driven from CRM data" rather than "review template plus report export."
Feature
Strkr
Lattice + HubSpot Reports
Where review questions come from
Auto-populated from CRM data per rep per review cadence
Generic template filled by manager with report-export context
Lattice OKR module with manual evidence attachment
Review prep time per rep
Roughly 10 minutes with auto-populated question set
Roughly 45 to 90 minutes manual preparation
How teams use Strkr
Playbooks sales managers run on Strkr reviews today.
The common thread across customers that moved sales performance reviews to Strkr: the manager wanted to run the review on the CRM data instead of a template. The playbooks below are motions on customer accounts right now.
Mid-market SaaS, 32-rep org
Monday pipeline review dropped from 90 minutes to 30.
A 32-rep mid-market SaaS org ran a 90-minute Monday pipeline review that two reps dominated and four reps slept through. The manager moved pipeline review to an async pre-read on the Strkr deal-health surface where every rep walks their red-flag deals before the meeting. The live 30 minutes runs on the 3 deals the team actually needs to weigh in on: multi-threaded enterprise negotiations, competitive cliff-hangers, strategic account expansions. Over a quarter, the team recovered roughly 240 hours of manager and rep time, which the manager redirected into targeted 1:1 coaching.
Series B B2B team, 14 reps
Forecast accuracy conversation calibrated with bias history.
A 14-rep Series B team ran forecast calls that always slipped: committed numbers landed 18 to 25 percent high every quarter. The sales manager moved the forecast call to open on each rep's rolling-8-quarter commit-to-actual accuracy from Strkr. Marcus the chronic over-committer got a specific calibration conversation: "You have committed 22 percent high the last 5 quarters, let's talk about which deals you commit this time." Over 3 quarters, forecast accuracy improved from 76 percent to 91 percent of committed, which the CFO cared about more than any other sales ops metric that fiscal year.
Enterprise SaaS, 60-rep org
Quarterly review ran as a conversation instead of a reconciliation.
A 60-rep enterprise SaaS team was running quarterly performance reviews on a 15Five template that took managers 2 hours per rep to prep and then became a 60-minute reconciliation of self-assessment versus manager view. The team moved quarterly reviews to Strkr where the template auto-populates from the attainment arc, OKR evidence, segment-adjusted win rate, activity ratios, forecast accuracy, and deal velocity. The rep saw the surface a week ahead and prepared the self-assessment on the same evidence. Quarterly review prep dropped from 2 hours to 20 minutes per rep, and the meeting ran as a forward-looking conversation.
Growing SMB sales org, 8 reps
Ramp question set caught a struggling new hire at week 6.
An 8-rep SMB sales org ran a ramp review question set on every new hire at week 2, 6, 10, and 14. A new rep hit week 6 at 68 percent of ramp activity target with a weak discovery-call quality signal from recorded calls. The ramp question set surfaced the specific gap and the manager added a daily discovery-call coaching session for 2 weeks. By week 10 the rep hit 94 percent of the activity target and the discovery-quality signal flipped. The alternative pattern (generic performance review at 90 days) would have landed as a PIP conversation 4 weeks too late.
Mid-market, departure-risk conversation at 90 days
Signal pattern caught a top performer before resignation.
A top-quartile rep in a 20-rep mid-market team hit the departure-risk signal pattern 90 days before anyone noticed: activity drops over 30 days, two 1:1 cancellations, forecast commit confidence drops, LinkedIn profile edit frequency up. The manager ran the stay-interview question set at the next 1:1: "What is the one thing we could change that would make the next quarter better?" The rep flagged a comp-plan concern and a career-development gap. The team adjusted the territory and committed to an SE-track development plan. The rep stayed through the following fiscal year.
Sales performance reviews that run on the CRM, not on a Lattice template.
Start a 14-day trial with pipeline-hygiene flags, forecast accuracy history, activity ratios, deal velocity, segment-adjusted win rate, attainment arcs, and sales-specific review templates enabled on day one. Lattice sidecar supported for the HR cycle; the summary exports back.
How is this different from a Lattice or 15Five performance review template?
Lattice and 15Five ship generic review templates that work across functions. The sales manager fills the template with notes from a report export the night before. Strkr auto-populates the review template from the CRM data per rep per cadence: pipeline-hygiene flags for the weekly 1:1, activity ratios and stage-conversion deltas for the monthly pipeline review, attainment arc and OKR evidence for the quarterly review, ramp-target progress for the first-90-day review. The manager edits the free-text sections but the data arrives in the surface before the meeting. Prep time drops from 45 to 90 minutes per rep to roughly 10 minutes, and the review conversation runs on specific numbers instead of vibes.
What CRM data drives the review questions?
Six primary data signals: pipeline hygiene (stalled deals, aging deals, stage-gate failures, forecast commits without activity, close-date pushes), forecast accuracy (rolling 8-quarter commit-to-actual with bias detection), activity-to-outcome ratios (call-to-meeting, email-to-reply, meeting-to-opportunity, opportunity-to-close), deal velocity (median days per stage per rep against team and segment benchmark), win rate (segment-adjusted and competitor-displaced versus greenfield), and attainment history (quota attainment over the rolling 6 quarters). Each signal maps to specific review questions in the template per cadence. The signals surface automatically for every rep from the CRM data the team already keeps.
Does this work for SDR teams or just AE teams?
Both, with different question sets. SDR review questions run on top-of-funnel ratios: dials-to-conversation, email-to-reply, conversation-to-meeting, meeting-to-opportunity-created, sequence-reply-rate by sequence, and ramp-target progress for new hires. The Bridge Group SDR benchmark overlays as the comparison. AE review questions run on mid-and-bottom-of-funnel: Discovery-to-Qualified conversion, stage velocity, forecast accuracy, win rate by segment, and strategic-account expansion. Sales manager review templates ship for both roles with the specific CRM data auto-populated per rep.
What does the departure-risk signal pattern look like?
The pattern combines several signals observed over a rolling 30 to 60 day window: activity volume drop of 20 percent or more against the rep's 90-day baseline, 1:1 cancellation rate above 1 in 4, forecast commit confidence drops, discovery-call volume drops, close-date pushes concentrated on the current quarter, and LinkedIn profile edit frequency up where surfaced from third-party intent data. No single signal flags the risk; the compound pattern lands in the 60-to-120-day window before actual resignation in roughly 70 percent of departures the pattern was tested against. The sales manager sees the compound flag on the review prep surface and runs a stay-interview question set at the next 1:1, which is a conversation the exit-interview pattern cannot support.
Can we keep running Lattice for the HR cycle and use Strkr for sales reviews?
Yes. The common pattern is a sidecar: keep Lattice (or 15Five) for the enterprise HR performance-review cycle including goal setting, 360 feedback, and HR-mandated review submission. Run Strkr for the sales-specific review cadences: weekly 1:1 prep, monthly pipeline review, quarterly sales performance review, ramp reviews, PIP reviews, departure-risk conversations. The Strkr review summary can export to Lattice as the sales-side evidence for the formal HR review, which satisfies the HR process without the sales manager running two separate workflows. The sidecar pattern lets the sales org run data-driven reviews without rebuilding the HR cycle.
What is the cost compared to Lattice plus HubSpot Reports plus Clari?
Lattice runs roughly $11 to $18 per user per month depending on tier. 15Five runs $9 to $15 per user per month. HubSpot Sales Hub Professional Reports runs on the $90 per user base. Clari runs $100 to $200 per user per month on the forecasting module. A 20-rep team on Lattice at $15, HubSpot at $90, and Clari at $150 lands at roughly $63,000 a year. Strkr runs on the flat per-seat Strkr plan with pipeline-hygiene flags, forecast accuracy history, activity ratios, deal velocity, win-rate segmentation, attainment history, review templates, and OKR evidence all included on every paid tier. The all-in annual spend for a 20-rep team is typically 40 to 60 percent lower than the Lattice-plus-HubSpot-plus-Clari pattern. We build the comparison with the buyer on the pilot call.
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