Skill Details
Runtime
Any model
Example user message
[userMessage]: REQUIRED INPUTS METRICS: - Active Workspaces: 4,200 (+12% MoM, target 4,000) - API Calls: 1.5M (+45% MoM, target 1.1M) - Churn Rate: 3.2% (+0.5% MoM, target <2.5%) - New MRR: $18,500 (+5% MoM, target $20,000) TIME_PERIOD: May 2026 DASHBOARD_TYPE: operational AUDIENCE: executives COMPARISON: MoM OPTIONAL INPUTS BUSINESS_CONTEXT: We launched the new Cross-Model Prompt Adapter tool mid-month, which drove heavy exploration by existing users. KNOWN_EVENTS: A 4-hour database connector outage occurred on May 14th, preventing workspace logins. GOALS: Drive core tool utilization and maintain churn below 2.5% to ensure steady ARR growth.
Example agent response
### PHASE 1 — INPUT QUALIFICATION
```
INPUT STATUS: NARRATABLE
Metrics found: 4
Comparisons: MoM — present for all metrics
Context: Provided — Cross-Model Prompt Adapter launch + May 14 outage
→ PROCEED
```
---
### PHASE 2 — METRIC ANALYSIS
```
METRIC ANALYSIS
──────────────────────────────────────────────────────────────────
Active Workspaces: 4,200 vs target 4,000 (+12% MoM, +5% above target)
→ OUTPERFORMING
Hypothesis: Cross-Model Prompt Adapter launch drove re-engagement
of dormant workspaces and new activations mid-month.
Evidence basis: +12% growth coincides with confirmed mid-month
product launch; strong leading indicator of stickiness.
Confidence: HIGH
API Calls: 1.5M vs target 1.1M (+45% MoM, +36% above target)
→ OUTPERFORMING
Hypothesis: Adapter tool is exploration-heavy — users running
multi-model comparisons generate 3–5x the API calls of
standard workflows.
Evidence basis: Launch timing + "heavy exploration" confirmed
in BUSINESS_CONTEXT. Disproportionate volume vs workspace growth
(45% call surge vs 12% workspace growth) supports high per-user
call depth.
Confidence: HIGH
Churn Rate: 3.2% vs target <2.5% (+0.5% MoM, 28% above target)
→ AT_RISK
Primary hypothesis: May 14 outage (4-hour login blockage)
triggered cancellations among users with low activation or
marginal engagement, compounding existing retention pressure.
Evidence basis: KNOWN_EVENTS confirm outage; +0.5% MoM
acceleration suggests a single-period shock rather than
structural deterioration — but without cohort data, this
cannot be confirmed.
Confidence: MEDIUM (outage is confirmed; direct causal link
to churn uplift is inferred, not measured)
New MRR: $18,500 vs target $20,000 (+5% MoM, -7.5% below target)
→ LAGGING
Primary hypothesis: High API volume is driven by existing users
(exploration behavior), not net-new paid conversions — new
revenue acquisition did not keep pace with usage growth.
Evidence basis: API calls +45% but New MRR only +5%; workspace
growth is healthy but revenue per new workspace may be below
target tier. [UNCONF] — no pricing tier breakdown provided.
Confidence: MEDIUM
──────────────────────────────────────────────────────────────────
Anomalies flagged: 1
API Calls: Volume surge (45%) is disproportionate to workspace
growth (12%) — consistent with known adapter behavior but
warrants cost-side review.
Most critical finding: Churn has breached the 2.5% target ceiling
during a month of strong usage growth — decoupling of engagement
signals from retention is the primary strategic risk.
──────────────────────────────────────────────────────────────────
```
---
### PHASE 3 — DRAFT NARRATIVE
**HEADLINE:** Adapter launch drove 45% API growth and record workspace activation, but churn hit 3.2% — 28% above target — likely accelerated by the May 14 outage.
**KEY INSIGHTS:**
1. The Cross-Model Prompt Adapter generated significant depth of engagement — API calls surged 45% to 1.5M against a 1.1M target, while active workspaces grew 12% to 4,200, beating target by 5%. The volume-to-workspace ratio suggests existing users are exploring heavily rather than routine workflows driving the lift.
2. Churn accelerated to 3.2%, breaching the 2.5% target by 0.7 points — the likely trigger is the May 14 database outage, which blocked logins for 4 hours during a month when marginal users may have been evaluating continued usage. The engagement surge among active users may be masking a retention problem in lower-activation cohorts.
3. New MRR of $18,500 missed its $20,000 target by 7.5% despite strong usage metrics — a signal that the Adapter is engaging existing users rather than converting net-new paid accounts. If exploration doesn't convert, next month's ARR growth is at risk.
**RECOMMENDATIONS:**
1. Immediate (48 hrs): CS team to run a targeted outreach campaign to workspaces that churned in May — identify what proportion cancellation dates cluster around May 14 to isolate outage-driven churn from structural churn.
2. Short-term (this week): Product and Growth leads to audit Adapter usage by activation tier — determine whether high-API users are trial/free-tier or paid, and build a conversion path for exploration-stage users into paid plans.
---
### PHASE 4 — SELF-CRITIQUE
```
SELF-CRITIQUE SCORES
──────────────────────────────────────────────────────────────────
Insight depth: 26/30 [STRONG]
— Causes named for all 4 metrics; volume/workspace ratio
surfaced as a signal; leading indicator in Insight 3 present.
— Loses 4pts: no ARR compounding math; adapter-to-conversion
gap not quantified.
Clarity: 21/25 [ADEQUATE]
— Mostly executive-readable; "volume-to-workspace ratio" and
"activation cohorts" require analyst familiarity.
— Loses 4pts: 2 phrases need simplification for pure exec audience.
Actionability: 18/20 [STRONG]
— Both recommendations have a named role, a specific action,
and a timeframe.
— Loses 2pts: Rec 2 could specify a decision output, not just
an audit.
Context: 13/15 [STRONG]
— Both KNOWN_EVENTS and BUSINESS_CONTEXT integrated.
— Loses 2pts: No benchmark for "typical" churn impact from
a 4-hour outage.
Brevity: 7/10 [ADEQUATE]
— Headline at 27 words (over 15-word target).
— Insights slightly long; combined narrative ~230 words (over
200-word target).
DRAFT TOTAL: 85/100
──────────────────────────────────────────────────────────────────
Rewrite targets: Clarity (21→target 24) | Brevity (7→target 9)
```
---
### PHASE 5 — REFINE
**Rewrites applied to Clarity and Brevity only.**
Headline shortened; "volume-to-workspace ratio" replaced with plain-language equivalent; "activation cohorts" replaced; insight word counts trimmed.
```
Clarity rewrite:
"Volume-to-workspace ratio" → "API calls grew 4x faster than
workspaces — suggesting deep per-user exploration, not broad
new adoption."
"Lower-activation cohorts" → "users who were already less
engaged before the outage."
Brevity rewrite:
Headline trimmed to ≤20 words.
Insight 1 trimmed to 2 tight sentences.
Insight 3 trimmed; ARR risk stated in one sentence.
```
Re-score:
```
Clarity: 24/25 [STRONG] (+3)
Brevity: 9/10 [STRONG] (+2)
```
---
### PHASE 6 — FINAL DELIVERY
```
═══════════════════════════════════════════════════════════════════
DASHBOARD NARRATIVE GENERATOR™ — W1-17
Period: May 2026 | Type: Operational | Audience: Executives
═══════════════════════════════════════════════════════════════════
FINAL NARRATIVE
──────────────────────────────────────────────────────────────────
HEADLINE:
Adapter launch drove 45% API growth and 4,200 active workspaces,
but churn breached target at 3.2% — ARR growth is at risk.
KEY INSIGHTS:
1. The Cross-Model Prompt Adapter generated strong engagement:
API calls hit 1.5M (+45% MoM, 36% above target) while active
workspaces reached 4,200 (+12%, beating target by 5%). API calls
grew 4x faster than workspaces — existing users are exploring
deeply, not just routine usage increasing.
2. Churn accelerated to 3.2%, breaching the 2.5% target by 0.7
points. The most likely trigger is the May 14 outage, which
locked users out for 4 hours and likely pushed already less-
engaged users to cancel. Whether this is a one-time shock or
the start of a trend cannot be confirmed without cohort data.
3. New MRR of $18,500 missed target by 7.5%. High API volume is
being driven by existing users, not net-new conversions — if
exploration doesn't translate to upgrades, June ARR growth
will be constrained.
CONTEXT:
Strong product engagement and rising churn in the same month
signals a split user base — highly engaged users driving usage
growth while a separate segment is exiting.
RECOMMENDATIONS:
1. Immediate (48 hrs): CS team to cross-reference May churn
dates against May 14 — quantify what share of churn is
outage-attributable vs. pre-existing attrition risk.
2. This week: Product + Growth leads to segment Adapter users
by plan tier, identify high-API free/trial users, and
define a conversion offer before exploration momentum fades.
NARRATIVE QUALITY SCORECARD
──────────────────────────────────────────────────────────────────
Dimension Draft Final Delta
Insight depth 26/30 26/30 +0
Clarity 21/25 24/25 +3
Actionability 18/20 18/20 +0
Context 13/15 13/15 +0
Brevity 7/10 9/10 +2
TOTAL 85/100 90/100 +5
ALERT FLAGS
──────────────────────────────────────────────────────────────────
🔴 Critical: Churn Rate 3.2% — 28% above target ceiling; breach
occurred during a high-engagement month, which may be masking
a widening retention gap in low-activation users.
🟡 Watch: New MRR — $1,500 below target despite usage surge;
engagement-to-revenue conversion not yet materializing.
🟡 Watch: API Call volume — 36% above target has cost-side
implications; confirm whether infrastructure is absorbing
this within plan margins.
🟢 On track: Active Workspaces (+12%, 5% above target).
FOLLOW-UP QUESTIONS
──────────────────────────────────────────────────────────────────
1. Of the 3.2% churn, what share cancelled within 48 hours of
the May 14 outage — and what was their average account age
and usage frequency before that date?
2. Are the high-API Adapter users on paid plans or exploration/
trial tiers — and does the current pricing model capture
value from deep per-session usage, or does volume go
unmonetized?
═══════════════════════════════════════════════════════════════════
```
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Reflection Engine
Dashboards full of numbers nobody understands? Runs a 2-cycle reflection loop: analyzes your metrics for trends → drafts a narrative with insights → self-critiques for depth and clarity → refines → delivers a story that drives action.
Input: Metrics + context + events + goals + audience
Output: Narrative + quality score + alert flags + follow-up questions
For: KPI, funnel, cohort, financial, operational dashboards
...more
Added 5 days ago
