Savanna

Research foundations

Every framework Savanna draws on, what we use it for, and how strong the evidence is.

Big Five (Five-Factor Model)

evidence: high

OCEAN: Openness, Conscientiousness, Extraversion, Agreeableness, Neuroticism.

The dominant empirical model of personality. Decades of factor-analytic work converge on five broad trait dimensions that replicate across cultures, languages, and self vs. observer ratings.

How we use it: The trait pattern attached to each archetype (e.g. high Extraversion + high Conscientiousness for Lion). Most scaled (Likert) items map directly onto Big Five facets.

Citations (6)
  • Costa, P. T., & McCrae, R. R. (1992). Revised NEO Personality Inventory (NEO-PI-R). Psychological Assessment Resources.
  • Goldberg, L. R. (1990). An alternative "description of personality": the Big-Five factor structure. Journal of Personality and Social Psychology, 59(6), 1216-1229.
  • McCrae, R. R., & John, O. P. (1992). An introduction to the five-factor model and its applications. Journal of Personality, 60(2), 175-215.
  • John, O. P., Naumann, L. P., & Soto, C. J. (2008). Paradigm shift to the integrative Big Five trait taxonomy. In Handbook of Personality (pp. 114-158). Guilford.
  • DeYoung, C. G., Quilty, L. C., & Peterson, J. B. (2007). Between facets and domains: 10 aspects of the Big Five. Journal of Personality and Social Psychology, 93(5), 880-896.
  • Soto, C. J., & John, O. P. (2017). The next Big Five Inventory (BFI-2). Journal of Personality and Social Psychology, 113(1), 117-143.

HEXACO model

evidence: high

Big Five plus Honesty-Humility, derived from cross-language lexical studies.

Adds a sixth factor (Honesty-Humility) that captures fairness, sincerity and lack of greed/manipulativeness. Strong cross-cultural support; useful predictor of antisocial vs. prosocial workplace behaviour.

How we use it: Items that distinguish the Hyena (opportunistic, willing to bend rules) from the Rhino (low-politics, plain-spoken) lean on the Honesty-Humility distinction.

Citations (2)
  • Ashton, M. C., & Lee, K. (2007). Empirical, theoretical, and practical advantages of the HEXACO model of personality structure. Personality and Social Psychology Review, 11(2), 150-166.
  • Lee, K., & Ashton, M. C. (2018). Psychometric properties of the HEXACO-100. Assessment, 25(5), 543-556.

DISC

evidence: medium

Dominance, Influence, Steadiness, Conscientiousness - workplace behavioural styles.

Originating with Marston (1928) and operationalised in many commercial instruments. Popular in corporate L&D for behavioural framing; less psychometrically validated than the Big Five and not recommended for high-stakes selection decisions.

How we use it: Influences the work-style framing (decisive vs. supportive vs. analytical) for archetypes such as Lion (D), Hyena (I), Meerkat (S/C), Giraffe/Rhino (C).

Citations (2)
  • Marston, W. M. (1928). Emotions of normal people. Kegan Paul, Trench, Trubner.
  • Jones, C. S., & Hartley, N. T. (2013). Comparing correlations between four-quadrant and five-factor personality assessments. American Journal of Business Education, 6(4), 459-470.

Belbin Team Roles

evidence: medium

Nine archetypal team contributions: Plant, Resource Investigator, Coordinator, Shaper, Monitor-Evaluator, Teamworker, Implementer, Completer-Finisher, Specialist.

A behavioural framework for understanding how individuals contribute to teams. Strong applied track record; mixed psychometric validation but useful for surfacing role coverage and gaps.

How we use it: Underpins the team analysis layer - the "pairs well with / clashes with" matrix between archetypes and the "functional coverage gaps" output (leadership / stewardship / launch / depth / social / coordination / execution / strategy).

Citations (2)
  • Belbin, R. M. (1981). Management Teams: Why They Succeed or Fail. Heinemann.
  • Aritzeta, A., Swailes, S., & Senior, B. (2007). Belbin's team role model: Development, validity and applications. Journal of Management Studies, 44(1), 96-118.

CliftonStrengths (StrengthsFinder)

evidence: medium

34-theme strength taxonomy organised into Executing, Influencing, Relationship-building, Strategic Thinking domains.

A talents-based framework focused on what people do well naturally. Widely used in coaching and leadership development.

How we use it: Informs the strengths / growth-edges framing on the result page - we describe what the archetype is naturally good at and where the same pattern can become a liability.

Citations (2)
  • Buckingham, M., & Clifton, D. O. (2001). Now, Discover Your Strengths. Free Press.
  • Asplund, J., Lopez, S. J., Hodges, T., & Harter, J. (2007). The CliftonStrengths Technical Report. Gallup.

ADHD executive function model

evidence: high (literature) / descriptive only (our items)

ADHD framed as a disorder of executive functioning, not just inattention.

Russell Barkley's extended-phenotype account of ADHD: working memory, response inhibition, self-regulation of affect, internalised speech, and reconstitution. Pairs with broader research on hyperfocus and time-blindness.

How we use it: The cognitive-style items detect self-reported preferences that *correlate* with ADHD-like cognition (novelty-seeking, time-blindness, bursty focus, hyperfocus). These are descriptive, **not diagnostic**.

Citations (7)
  • Barkley, R. A. (2015). Attention-Deficit Hyperactivity Disorder: A Handbook for Diagnosis and Treatment (4th ed.). Guilford Press.
  • Faraone, S. V., et al. (2021). The World Federation of ADHD International Consensus Statement: 208 evidence-based conclusions about the disorder. Neuroscience & Biobehavioral Reviews, 128, 789-818.
  • Kessler, R. C., et al. (2005). The World Health Organization Adult ADHD Self-Report Scale (ASRS). Psychological Medicine, 35(2), 245-256.
  • Kessler, R. C., et al. (2006). The prevalence and correlates of adult ADHD in the United States. American Journal of Psychiatry, 163(4), 716-723.
  • Nigg, J. T. (2017). On the relations among self-regulation, executive functioning, effortful control, and inhibition. Journal of Child Psychology and Psychiatry, 58(4), 361-383.
  • Polderman, T. J. C., et al. (2014). The cross-national epidemiology of ADHD: dimensional vs categorical approaches. Psychological Medicine, 44(15), 3361-3372.
  • Ashinoff, B. K., & Abu-Akel, A. (2019). Hyperfocus: the forgotten frontier of attention. Psychological Research, 85(1), 1-19.

Autism cognitive-style research

evidence: high (literature) / descriptive only (our items)

Empathising-Systemising theory, monotropism, and detail-focus accounts of autistic cognition.

Two strands inform the assessment: Baron-Cohen's Empathising-Systemising (E-S) theory, which characterises autism as systemising bias relative to the population mean; and the monotropism account (Murray, Lesser & Lawson), which frames attention as flowing through a small number of intense interests.

How we use it: Items about pattern detection, sensory load, monotropic focus, and routine-need surface cognitive-style preferences that *correlate* with autistic cognition. Again, descriptive only - not diagnostic.

Citations (10)
  • Baron-Cohen, S., Wheelwright, S., Skinner, R., Martin, J., & Clubley, E. (2001). The Autism-Spectrum Quotient (AQ): evidence from Asperger syndrome / high-functioning autism, males and females, scientists and mathematicians. Journal of Autism and Developmental Disorders, 31(1), 5-17.
  • Baron-Cohen, S. (2008). Autism and Asperger Syndrome: The Facts. Oxford University Press.
  • Constantino, J. N., & Todd, R. D. (2003). Autistic traits in the general population: a twin study. Archives of General Psychiatry, 60(5), 524-530.
  • Frith, U. (2003). Autism: Explaining the Enigma (2nd ed.). Blackwell.
  • Happe, F., & Frith, U. (2006). The weak coherence account: Detail-focused cognitive style in autism spectrum disorders. Journal of Autism and Developmental Disorders, 36(1), 5-25.
  • Hull, L., Petrides, K. V., Allison, C., Smith, P., Baron-Cohen, S., Lai, M.-C., & Mandy, W. (2017). "Putting on My Best Normal": social camouflaging in adults with autism spectrum conditions. Journal of Autism and Developmental Disorders, 47(8), 2519-2534.
  • Lai, M. C., Lombardo, M. V., & Baron-Cohen, S. (2014). Autism. The Lancet, 383(9920), 896-910.
  • Murray, D., Lesser, M., & Lawson, W. (2005). Attention, monotropism and the diagnostic criteria for autism. Autism, 9(2), 139-156.
  • Ronald, A., & Hoekstra, R. A. (2011). Autism spectrum disorders and autistic traits: a decade of new twin studies. American Journal of Medical Genetics Part B, 156(3), 255-274.
  • Wakabayashi, A., Baron-Cohen, S., Wheelwright, S., & Tojo, Y. (2006). The Autism-Spectrum Quotient (AQ) in Japan: a cross-cultural comparison. Journal of Autism and Developmental Disorders, 36(2), 263-270.

Team composition research

evidence: high

How personality diversity, conflict, and role coverage predict team performance.

A converging body of work (Mathieu et al., LePine et al.) shows that conscientiousness has the strongest positive effect on team performance, that agreeableness and emotional stability moderate task and relationship conflict, and that complementarity of roles matters more than mean trait scores.

How we use it: Underpins the cohesion / tension / diversity / coverage scoring on each team page. Pair-by-pair reads use complementarity (Belbin-style), not just trait-mean similarity.

Citations (6)
  • Barrick, M. R., & Mount, M. K. (1991). The Big Five personality dimensions and job performance: a meta-analysis. Personnel Psychology, 44(1), 1-26.
  • Bell, S. T. (2007). Deep-level composition variables as predictors of team performance: a meta-analysis. Journal of Applied Psychology, 92(3), 595-615.
  • Judge, T. A., Bono, J. E., Ilies, R., & Gerhardt, M. W. (2002). Personality and leadership: a qualitative and quantitative review. Journal of Applied Psychology, 87(4), 765-780.
  • LePine, J. A., Buckman, B. R., Crawford, E. R., & Methot, J. R. (2011). A review of research on personality in teams. Human Resource Management Review, 21(4), 311-330.
  • Mathieu, J. E., Tannenbaum, S. I., Donsbach, J. S., & Alliger, G. M. (2014). A review and integration of team composition models. Journal of Management, 40(1), 130-160.
  • Tett, R. P., & Burnett, D. D. (2003). A personality trait-based interactionist model of job performance. Journal of Applied Psychology, 88(3), 500-517.

Dimensional approach to traits and conditions

evidence: high

A growing consensus that ADHD, autism, anxiety, and personality disorders sit on continuous dimensions, not categorical bins.

Twin studies and large-N general-population samples consistently find that traits associated with ADHD, autism, and anxiety are normally distributed in the population. Diagnostic categories are useful clinical conventions, but the underlying biology and behaviour are dimensional.

How we use it: Underpins the cognitive-style spectrum on the result page. Rather than "you are or are not ADHD," we report a dimensional read of self-reported preferences associated with that cognitive style.

Citations (4)
  • Constantino, J. N., & Todd, R. D. (2003). Autistic traits in the general population: a twin study. Archives of General Psychiatry, 60(5), 524-530.
  • Hudziak, J. J., Achenbach, T. M., Althoff, R. R., & Pine, D. S. (2007). A dimensional approach to developmental psychopathology. International Journal of Methods in Psychiatric Research, 16(S1), S16-S23.
  • Polderman, T. J. C., et al. (2014). The cross-national epidemiology of ADHD: dimensional vs categorical approaches. Psychological Medicine, 44(15), 3361-3372.
  • Ronald, A., & Hoekstra, R. A. (2011). Autism spectrum disorders and autistic traits: a decade of new twin studies. American Journal of Medical Genetics Part B, 156(3), 255-274.

Situational judgement tests (SJT)

evidence: high (method) / heuristic (our specific scoring keys)

A workplace-aptitude method that scores responses to realistic scenarios against expert-consensus "best practice" weights.

SJTs present low-fidelity simulations of work problems and ask the respondent to choose how they would respond. Consensus or empirically derived scoring keys map options to a "most effective" -> "least effective" continuum. Multiple meta-analyses show SJT scores predict job performance with validity comparable to structured interviews and outperform unstructured interviews, at lower cost and with smaller adverse-impact ratios than pure cognitive ability tests.

How we use it: Backs the "Applied judgement" score on the result page. The 10 scenario items each carry per-option judgement weights (0-3) drawn from leadership / coaching / management consensus rather than empirical key-derivation - useful as a discussion tool, not a selection instrument.

Citations (5)
  • Motowidlo, S. J., Dunnette, M. D., & Carter, G. W. (1990). An alternative selection procedure: the low-fidelity simulation. Journal of Applied Psychology, 75(6), 640-647.
  • McDaniel, M. A., Hartman, N. S., Whetzel, D. L., & Grubb, W. L. (2007). Situational judgment tests, response instructions, and validity: a meta-analysis. Personnel Psychology, 60(1), 63-91.
  • Lievens, F., Peeters, H., & Schollaert, E. (2008). Situational judgment tests: a review of recent research. Personnel Review, 37(4), 426-441.
  • Christian, M. S., Edwards, B. D., & Bradley, J. C. (2010). Situational judgment tests: constructs assessed and a meta-analysis of their criterion-related validities. Personnel Psychology, 63(1), 83-117.
  • Whetzel, D. L., & McDaniel, M. A. (2009). Situational judgment tests: an overview of current research. Human Resource Management Review, 19(3), 188-202.

Cognitive ability and job performance

evidence: high (literature, not used as a Savanna feature)

General mental ability (g) is the single strongest individual-level predictor of job performance across roles.

Schmidt & Hunter (1998) and follow-up meta-analyses establish that general cognitive ability (g) predicts job performance more strongly than any other single individual-difference measure, across role complexity. Combining g with structured interviews or work-sample tests produces the highest validity. Savanna does not measure g - this entry is included to mark the boundary clearly.

How we use it: Caveat in the "Applied judgement" panel. We do not claim Savanna measures cognitive aptitude. For high-stakes selection decisions, supplement with a purpose-built cognitive ability test.

Citations (4)
  • Schmidt, F. L., & Hunter, J. E. (1998). The validity and utility of selection methods in personnel psychology. Psychological Bulletin, 124(2), 262-274.
  • Schmidt, F. L., Oh, I.-S., & Shaffer, J. A. (2016). The validity and utility of selection methods in personnel psychology: practical and theoretical implications of 100 years of research findings. Working paper.
  • Cattell, R. B. (1971). Abilities: their structure, growth, and action. Houghton Mifflin.
  • Hunter, J. E., & Hunter, R. F. (1984). Validity and utility of alternative predictors of job performance. Psychological Bulletin, 96(1), 72-98.

Trait anxiety and emotional reactivity

evidence: high

Long-running research on stable individual differences in anxiety, rumination, and rejection sensitivity.

Trait anxiety is a stable disposition to experience negative affect across situations, distinct from state anxiety (the in-the-moment feeling). It correlates with rumination, threat-monitoring, and rejection sensitivity, and predicts both performance under pressure and burnout risk.

How we use it: Backs the anxiety-style spectrum item set: rejection sensitivity, masking, social-energy depletion, change aversion. Helps users interpret the anxiety-style score with grounding rather than mystique.

Citations (3)
  • Eysenck, M. W., & Calvo, M. G. (1992). Anxiety and performance: the processing efficiency theory. Cognition & Emotion, 6(6), 409-434.
  • Spielberger, C. D. (1983). Manual for the State-Trait Anxiety Inventory (STAI Form Y). Consulting Psychologists Press.
  • Watson, D., & Clark, L. A. (1984). Negative affectivity: the disposition to experience aversive emotional states. Psychological Bulletin, 96(3), 465-490.

Limits and responsibilities

  • The eight African-animal archetypes are a framing device built on top of the validated trait dimensions above. They are not themselves a psychometrically validated taxonomy.
  • This assessment is not a clinical instrument. The cognitive-style items detect self-reported preferences that correlate with ADHD- or autism-style cognition; they do not diagnose either condition.
  • It should not be used as a hiring or promotion gate. Trait inventories have well-documented adverse-impact risks and are designed for self-development and team-discussion contexts.
  • Self-report instruments are subject to social desirability and momentary state effects. Treat any single result as a snapshot, not a verdict.
  • Norms here are not population-calibrated - scores are normalised within the assessment, not against external samples. Comparisons are most meaningful within one organisation over time.

What this means in practice

The trait items are grounded in established psychometrics. The archetype labels on top are framing - useful for conversations, not categorical truth. Use the result for self-awareness, team discussions, and 1:1 coaching. Don't use it for hiring, performance evaluation, or as a substitute for clinical assessment.