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Recommendation

By · Reviewed & last updated · Part of Capstone Manuscript Tutorial

Recommendations turn your study into a runway for action. The strongest recommendations are concrete, owner-tagged, and time-bound. Vague calls for further study earn the lowest marks.

Three Audiences

AudienceWhat They Want
BeneficiaryWhat to do tomorrow
Future researchersWhat to investigate next
Practitioners / industryWhat pattern to reuse

Recommendation Template

AudienceActionOwnerTimeframe
HR deptRoll out attendance tracker to all branchesHRIS teamWithin 6 months
Future researchersReplicate study with biometricsCapstone groupNext academic year
Future researchersAdd ML-based anomaly detectionCapstone groupNext academic year
BeneficiaryAdd data backup procedureIT adminWithin 1 month
IndustryAdopt acceptance criteria above 4.0HRIS vendorsOngoing

Strong vs Weak Recommendations

WeakStrong
Further studies are recommendedA follow-up study with biometric attendance and 500 respondents is recommended
The system should be improvedAdd an offline mode supporting CSV export by Q4
Train more usersTrain all 84 staff in two 2-hour sessions before go-live

Common Mistakes

  1. Listing every possible feature you ran out of time to build.
  2. Recommending things outside the project scope.
  3. Mixing recommendations and conclusions.
  4. Forgetting to recommend to the beneficiary.

Discussion

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