Maler for saksfangst og innsikt

Hver innsikt har en basismeldingemal for å fylle ut data på kortet Saksfangst og innsikt. Du kan redigere ledetekstmalene for å legge til flere data i samsvar med forretningskravene dine. Ledetekstmalene er tilgjengelig bare for bruk i Saksfangst og innsikt.

• Malm for ledetekst: Opsummer sagsengagement
• Malm for ledetekst: Opsummer relateret konto
• Malm for ledetekst: Beregne sakstilstandsscore

Ledetekstmal: Summere saksengasjement

Ledetekstmalen Oppsummer saksengasjement genererer et sammendrag av kundens hensikt, saken og eventuell relevant interaksjonshistorikk slik at representanter raskt kan forstå hvorfor kunden kontakter. Emnet og beskrivelsen inkluderes som standardinndata. Du kan endre malen for å legge til data og ressurser.

-----INSTRUCTIONS-----

Provide a concise summary of the following case record.

Subject: {!$Input:Case.Subject}
Description: {!$Input:Case.Description}

- Assuming case data is available, summarize the core issue or request described by the customer.
- If both subject and description are available, summarize based on both.
- If only the subject is available, summarize based on the subject alone.
- If only the description is available, summarize based on the description alone.
- If no subject or description is associated with this case, respond with an empty string.

-----Content Guidelines-----
- Use clear, professional language in the 3rd person point of view.
- Keep the summary concise— 2 to 5 sentences.
- Don't include markdown, JSON formatting, or any non-user friendly format.
- The output should be plain rich text, focused only on the information requested in the instructions.

Ledetekstmal: Opsummer relateret konto

Malen Summarize Related Account (Sammendrag relatert konto) genererer et sammendrag av kundens kontoinformasjon. Kontonavnet og beskrivelsen inkluderes som standardinndata. Du kan endre malen for å legge til data og ressurser.

-----INSTRUCTIONS-----
Provide a concise, single-paragraph summary of the account associated with this record.

Account Name: {!$Input:Case.Account.Name}
Account Description: {!$Input:Case.Account.Description}

- If account data is available, always include the account name and account description. If the account description is not available, just show the account name and tell that the account description is not provided.
- If no account is associated with this record, return an empty string.

-----CONTENT GUIDELINES-----
- Use clear, professional language in the third-person point of view.
- Keep the summary concise (2 to 5 sentences).
- Do not include markdown, JSON, or any non-user-friendly formatting.
- Output plain text only.
- Focus strictly on the requested information.

Ledetekstmal: Beregne sakstilstandsscore

Ledetekstmalen Beregn sakstilstandsscore genererer en sakstilstandsscore (0 til 100) basert på saksdata som alder, gjenåpninger og eskaleringer. Scoren inneholder også tjenestenivåavtale- og kundesentimentdata når disse funksjonene er konfigurert. Hvis Tjenestenivåavtaler og Kundesignalintelligens ikke er konfigurert, baseres scoren bare på saksdatamålinger.

Du kan endre malen for å gi flere målinger eller endre standard scoringslogikk for hver måling, som vekten av hver måling.

# INPUT DATA
Input String: {!$Input:InputText}

# EXTRACTION RULES
Parse the following variables from the Input String (formatted as Key=Value|Key=Value):
- TicketAgeHours (Numeric)
- CustomerSentimentScore (String: POSITIVE, NEGATIVE, NEUTRAL, MIXED)
- ReopenCount (Numeric)
- SLAStatus (String)
- NextSLATimeRemaining (String: e.g., "5 Days", "18 Hours", "30 Minutes")
- IsCurrentlyEscalated (Boolean)
- HasPastEscalation (Boolean)

# SCORING LOGIC
1. Ticket Age (Weight: 25%)
   - If TicketAgeHours >= 72: Score = 0
   - Else: Score = 100 - (TicketAgeHours / 72 * 100)
   - Round to 2 decimals.
Status: GREEN if score > 80, YELLOW if 40-80, RED if < 40


2. Customer Sentiment (Weight: 25%)
   - POSITIVE: 100 | MIXED: 75 | NEUTRAL: 50 | NEGATIVE: 20
   - Default to 50 if missing or unknown.
Status: GREEN if > 80, YELLOW if 50-80, RED if < 50

3. Reopens (Weight: 10%)
   - 0 Reopens: 100
   - 1 Reopen: 60
   - 2+ Reopens: max(0, 10 * (3 - ReopenCount))
Status: GREEN if 100, YELLOW if 60, RED otherwise

4. SLA Status (Weight: 40%)
   - If SLAStatus is blank or "Not Present": Score = 100
   - If SLAStatus contains "Open Violation": Score = 20
   - If SLAStatus contains "Close Violation": Score = 40
   - If SLAStatus contains "Compliant": Parse NextSLATimeRemaining to hours (Day=24h, Hour=1h, Min=0.016h).
     - hoursRemaining <= 0: Score = 20
     - 0 < hoursRemaining <= 4: Score = 40
     - 4 < hoursRemaining <= 24: Score = 75
     - hoursRemaining > 24: Score = 100
Status: GREEN if >= 80, YELLOW if 40-79, RED if < 40


# FINAL CALCULATION
1. Base Composite Score = (TicketAgeScore * 0.25) + (SentimentScore * 0.25) + (ReopenScore * 0.10) + (SLAScore * 0.40).
2. Apply Penalties:
   - If IsCurrentlyEscalated = true: Penalty = 50
   - Else if HasPastEscalation = true: Penalty = 5
   - Else: Penalty = 0
3. Final Case Health Score = max(0, Base Composite Score - Penalty). Round to the nearest whole number.
4. Status Mapping:
   - GREEN: Score >= 70
   - YELLOW: Score 40-69.99
   - RED: Score < 40

# OUTPUT INSTRUCTIONS
Return ONLY valid JSON.

{
  "caseHealthScore": <Final Case Health Score (rounded to the nearest whole number)>,
  "healthStatus": "GREEN" | "YELLOW" | "RED",
  "componentScores": {
    "ticketAge": <float>,
    "customerSentiment": <float>,
    "reopens": <float>,
    "slaStatus": <float>
  },
  "weightedBreakdown": {
    "ticketAge": <float>,
    "customerSentiment": <float>,
    "reopens": <float>,
    "slaStatus": <float>
  }
}