[{"data":1,"prerenderedAt":493},["ShallowReactive",2],{"sanity-RF8SAvZpkACSljjl43zN3z2FAa-BArn29JijabJnr_M":3,"sanity-CDoJ0Roz-WFBpGxtMjHOEubnaQfZInJgW_U5UYiAczA":7},{"data":4},{"_type":5,"plausibleScriptUrl":6},"object","https:\u002F\u002Fplausible.io\u002Fjs\u002Fpa-4cy2o2qHQkBdJcf_jDSTz.js",{"data":8,"sourceMap":-1},{"doc":9,"settings":333},{"_createdAt":10,"_id":11,"_rev":12,"_type":13,"_updatedAt":14,"body":15,"schemaType":324,"section":325,"seo":326,"slug":329,"title":332},"2026-10-15T12:28:48Z","page-faq","2CKK45KvBs6eLpSTYLnKvG","page","2026-10-15T13:24:43Z",[16,27,36,44,52,60,68,76,84,92,100,108,116,124,132,140,148,156,164,172,180,188,196,204,212,220,228,236,244,252,260,268,276,284,292,300,308,316],{"_key":17,"_type":18,"children":19,"markDefs":25,"style":26},"k1","block",[20],{"_key":21,"_type":22,"marks":23,"text":24},"k2","span",[],"What is causal intelligence?",[],"h3",{"_key":28,"_type":18,"children":29,"markDefs":34,"style":35},"k3",[30],{"_key":31,"_type":22,"marks":32,"text":33},"k4",[],"Causal intelligence is StakeholderWatch's name for research that goes beyond reporting a score to estimating what caused it to move. A structural equation model, re-estimated every evening on a client's own daily survey data, measures the effect of more than fifty macro, social, event and channel factors on the client's reputation, brand, sentiment and buying intention, and shows an effect only when it reaches statistical significance.",[],"normal",{"_key":37,"_type":18,"children":38,"markDefs":43,"style":26},"k5",[39],{"_key":40,"_type":22,"marks":41,"text":42},"k6",[],"Do you do reputation research?",[],{"_key":45,"_type":18,"children":46,"markDefs":51,"style":35},"k7",[47],{"_key":48,"_type":22,"marks":49,"text":50},"k8",[],"Yes. Reputation research is one of our five services. It is run for one organisation at a time, daily, among its own stakeholders, and reports both the standard reputation measures and the causal factors behind them.",[],{"_key":53,"_type":18,"children":54,"markDefs":59,"style":26},"k9",[55],{"_key":56,"_type":22,"marks":57,"text":58},"k10",[],"Is this a brand tracker?",[],{"_key":61,"_type":18,"children":62,"markDefs":67,"style":35},"k11",[63],{"_key":64,"_type":22,"marks":65,"text":66},"k12",[],"Yes. Awareness, consideration, preference, brand beliefs and buying intention are measured every day for one brand among its own public, and the causal effect of advertising, price, product beliefs, news and macro conditions on them is estimated every evening.",[],{"_key":69,"_type":18,"children":70,"markDefs":75,"style":26},"k13",[71],{"_key":72,"_type":22,"marks":73,"text":74},"k14",[],"What is stakeholder intelligence?",[],{"_key":77,"_type":18,"children":78,"markDefs":83,"style":35},"k15",[79],{"_key":80,"_type":22,"marks":81,"text":82},"k16",[],"The continuous measurement of what each of an organisation's stakeholder groups believes, how each evaluates the organisation and what each intends to do, with the causes of all three. Customers, employees, investors and the public are each measured in their own daily study and read through one model.",[],{"_key":85,"_type":18,"children":86,"markDefs":91,"style":26},"k17",[87],{"_key":88,"_type":22,"marks":89,"text":90},"k18",[],"Can you measure a crisis as it happens?",[],{"_key":93,"_type":18,"children":94,"markDefs":99,"style":35},"k19",[95],{"_key":96,"_type":22,"marks":97,"text":98},"k20",[],"Yes. The daily survey continues through a crisis, structural break tests date the day each judgment shifted, and the model estimates which signal moved it.",[],{"_key":101,"_type":18,"children":102,"markDefs":107,"style":26},"k21",[103],{"_key":104,"_type":22,"marks":105,"text":106},"k22",[],"Do you measure employees as well as customers?",[],{"_key":109,"_type":18,"children":110,"markDefs":115,"style":35},"k23",[111],{"_key":112,"_type":22,"marks":113,"text":114},"k24",[],"Yes. Employee research runs daily, for one organisation alone, with an internal version of the same model.",[],{"_key":117,"_type":18,"children":118,"markDefs":123,"style":26},"k25",[119],{"_key":120,"_type":22,"marks":121,"text":122},"k26",[],"Do you use an omnibus survey or a shared panel?",[],{"_key":125,"_type":18,"children":126,"markDefs":131,"style":35},"k27",[127],{"_key":128,"_type":22,"marks":129,"text":130},"k28",[],"No. Each study is designed for one client and fielded for that client alone. Respondents answer about one organisation per interview and are not shared between clients.",[],{"_key":133,"_type":18,"children":134,"markDefs":139,"style":26},"k29",[135],{"_key":136,"_type":22,"marks":137,"text":138},"k30",[],"How often are the causal effects updated?",[],{"_key":141,"_type":18,"children":142,"markDefs":147,"style":35},"k31",[143],{"_key":144,"_type":22,"marks":145,"text":146},"k32",[],"Every evening. The model is re-estimated on a rolling window of the latest completes (a trailing quarter by default), and a structural break is reported only once it has been confirmed on more than one refresh.",[],{"_key":149,"_type":18,"children":150,"markDefs":155,"style":26},"k33",[151],{"_key":152,"_type":22,"marks":153,"text":154},"k34",[],"How many factors does the model estimate?",[],{"_key":157,"_type":18,"children":158,"markDefs":163,"style":35},"k35",[159],{"_key":160,"_type":22,"marks":161,"text":162},"k36",[],"More than fifty: macro issues, macro concerns, social events and contact channels, together with the beliefs they form, estimated simultaneously in one structural equation model.",[],{"_key":165,"_type":18,"children":166,"markDefs":171,"style":26},"k37",[167],{"_key":168,"_type":22,"marks":169,"text":170},"k38",[],"What is a structural equation model and why use one?",[],{"_key":173,"_type":18,"children":174,"markDefs":179,"style":35},"k39",[175],{"_key":176,"_type":22,"marks":177,"text":178},"k40",[],"A structural equation model estimates a whole system of relationships at once, with the direction of each path fixed by theory, instead of one regression at a time. It is used because the question \"what moves reputation\" has several answers acting together, through beliefs, and only a model that holds all of them at once can say how much each contributes. The fit of the whole system is tested, so the model can be wrong in a way a reader can see.",[],{"_key":181,"_type":18,"children":182,"markDefs":187,"style":26},"k41",[183],{"_key":184,"_type":22,"marks":185,"text":186},"k42",[],"What does \"significant\" mean on the dashboard?",[],{"_key":189,"_type":18,"children":190,"markDefs":195,"style":35},"k43",[191],{"_key":192,"_type":22,"marks":193,"text":194},"k44",[],"A coefficient is shown when the probability that it would be observed if the true effect were zero is below the level the user selects: .05 by default, with .10 and .20 available and labelled for exploration. A coefficient that does not reach the level is shown as tested and empty.",[],{"_key":197,"_type":18,"children":198,"markDefs":203,"style":26},"k45",[199],{"_key":200,"_type":22,"marks":201,"text":202},"k46",[],"Who are the respondents and how are they screened?",[],{"_key":205,"_type":18,"children":206,"markDefs":211,"style":35},"k47",[207],{"_key":208,"_type":22,"marks":209,"text":210},"k48",[],"Real people recruited through established panel bureaus that meet our verification standard, screened for attention, speed, consistency, duplicates and the signatures of automated accounts before any complete enters the data.",[],{"_key":213,"_type":18,"children":214,"markDefs":219,"style":26},"k49",[215],{"_key":216,"_type":22,"marks":217,"text":218},"k50",[],"Can I download the raw data?",[],{"_key":221,"_type":18,"children":222,"markDefs":227,"style":35},"k51",[223],{"_key":224,"_type":22,"marks":225,"text":226},"k52",[],"Yes. Every respondent record collected for a client is the client's own and can be downloaded at any time, with the codebook and weights, without a request and without a waiting period.",[],{"_key":229,"_type":18,"children":230,"markDefs":235,"style":26},"k53",[231],{"_key":232,"_type":22,"marks":233,"text":234},"k54",[],"Do you use synthetic or AI-generated respondents?",[],{"_key":237,"_type":18,"children":238,"markDefs":243,"style":35},"k55",[239],{"_key":240,"_type":22,"marks":241,"text":242},"k56",[],"No. We do not use large language models or any generative method to create, impute or extend answers, and we do not use synthetic sampling to fill quotas. Every record is a complete from a person who answered.",[],{"_key":245,"_type":18,"children":246,"markDefs":251,"style":26},"k57",[247],{"_key":248,"_type":22,"marks":249,"text":250},"k58",[],"Is the method published or peer-reviewed?",[],{"_key":253,"_type":18,"children":254,"markDefs":259,"style":35},"k59",[255],{"_key":256,"_type":22,"marks":257,"text":258},"k60",[],"The method is documented on the Method page with its references. Three empirical papers using it are under review or in preparation at leading management journals, and the founder's doctoral dissertation on it is scheduled for defence at VU Amsterdam in 2027. Working papers are available to academic colleagues on request.",[],{"_key":261,"_type":18,"children":262,"markDefs":267,"style":26},"k61",[263],{"_key":264,"_type":22,"marks":265,"text":266},"k62",[],"Which universities or researchers are involved?",[],{"_key":269,"_type":18,"children":270,"markDefs":275,"style":35},"k63",[271],{"_key":272,"_type":22,"marks":273,"text":274},"k64",[],"The behavioural model and the research programme are developed with researchers at VU Amsterdam, named on the Research page.",[],{"_key":277,"_type":18,"children":278,"markDefs":283,"style":26},"k65",[279],{"_key":280,"_type":22,"marks":281,"text":282},"k66",[],"How long has StakeholderWatch been collecting daily data?",[],{"_key":285,"_type":18,"children":286,"markDefs":291,"style":35},"k67",[287],{"_key":288,"_type":22,"marks":289,"text":290},"k68",[],"Since 2013, for insurers, pension funds, banks, retailers, industry, energy, food, governments and healthcare, several clients continuously since 2015.",[],{"_key":293,"_type":18,"children":294,"markDefs":299,"style":26},"k69",[295],{"_key":296,"_type":22,"marks":297,"text":298},"k70",[],"What does a client receive, and how quickly after launch?",[],{"_key":301,"_type":18,"children":302,"markDefs":307,"style":35},"k71",[303],{"_key":304,"_type":22,"marks":305,"text":306},"k72",[],"A dashboard with the outcomes, beliefs, coefficients, breaks and peer comparison for every stakeholder group and segment in the study, updated every morning; download of all raw data at any time; and one account manager who knows the study. The daily scores appear from the first week; the first coefficients appear once the estimation window has filled.",[],{"_key":309,"_type":18,"children":310,"markDefs":315,"style":26},"k73",[311],{"_key":312,"_type":22,"marks":313,"text":314},"k74",[],"How is this different from a reputation ranking?",[],{"_key":317,"_type":18,"children":318,"markDefs":323,"style":35},"k75",[319],{"_key":320,"_type":22,"marks":321,"text":322},"k76",[],"A ranking compares many firms on one score at one moment, from a shared sample. StakeholderWatch measures one firm continuously, among its own stakeholders, and estimates what is causing its scores to move. 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