{"id":3927,"date":"2026-05-17T15:37:15","date_gmt":"2026-05-17T15:37:15","guid":{"rendered":"https:\/\/workwith.dorple.me\/?page_id=3927"},"modified":"2026-05-18T06:49:41","modified_gmt":"2026-05-18T06:49:41","slug":"analyse-tools","status":"publish","type":"page","link":"https:\/\/workwith.dorple.me\/en\/analyse-tools\/","title":{"rendered":"Dorple Analyse Tools"},"content":{"rendered":"
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From community input to project insight<\/h2>

Dorple does more than just collect feedback. The platform analyses, categorises and interprets participation data so that partners can make informed decisions more quickly.<\/p>\t\t<\/div>\n\t\t\t\t\t

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Photo Analysis<\/h2>

Dorple automatically analyses images at the level of each individual photo: themes such as green spaces and climate, mobility, safety or heritage, along with structured descriptions and tags that you can search through in the gallery. A local shares a moment from the neighbourhood; you receive a notification that you can post immediately and compare with other locations.<\/p>\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t

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Ruimte gebruik<\/h2>

When it comes to mobility and usage, it goes one step further. Movements are converted into hexagons on the map, grouped by time slot and only visible where there are enough different participants in the same cell \u2014 a privacy safeguard against identification. This allows you to see where activity and experience converge, as a pattern across the neighbourhood, rather than as tracking of individuals. This layer complements the photos and ideas with a dynamic picture: how the space is used and experienced as people move through it.<\/p>\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t

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Automatische Project Samenvatting<\/h2>

At project level, Dorple produces an AI summary where necessary, which looks beyond individual items. This draws on participation figures, contributions from the local community, route insights, streets and squares within the project area, maps and relevant project documents. The result is not a spreadsheet, but a high-quality dossier: what the area looks like, how slow traffic flows there, how residents are involved, and what key findings emerge from the data. This summary can be included in PDF reports alongside participation statistics, questionnaire results and \u2014 where desired \u2014 details for each contribution.<\/p>\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t

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How the analysis chain works<\/h2>

This is how analysis works at Dorple: residents provide input, AI and spatial aggregation turn this into patterns, and reporting translates those patterns into language that can be used in policy, design and consultation. The interpretation remains with people; Dorple provides the integrated, privacy-conscious evidence.<\/p>\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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The proof is in the pudding!<\/h2>

Find out how Dorple works in practice. Schedule a demo and get insights tailored to your project!<\/p>\t\t<\/div>\n\t\t\t\t\t

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Van buurtinput naar projectinzicht Dorple stopt niet bij het verzamelen van bijdragen. Het platform leest, groepeert en interpreteert participatiedata zodat partners sneller tot onderbouwde keuzes komen. Foto Analyse Op het niveau van elke foto analyseert Dorple beelden automatisch: thema\u2019s zoals groen en klimaat, mobiliteit, veiligheid of erfgoed, een gestructureerde toelichting en tags die je in […]<\/p>\n","protected":false},"author":1,"featured_media":622,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"_eb_attr":"","om_disable_all_campaigns":false,"footnotes":""},"class_list":["post-3927","page","type-page","status-publish","has-post-thumbnail","hentry"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/workwith.dorple.me\/en\/wp-json\/wp\/v2\/pages\/3927","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/workwith.dorple.me\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/workwith.dorple.me\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/workwith.dorple.me\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/workwith.dorple.me\/en\/wp-json\/wp\/v2\/comments?post=3927"}],"version-history":[{"count":15,"href":"https:\/\/workwith.dorple.me\/en\/wp-json\/wp\/v2\/pages\/3927\/revisions"}],"predecessor-version":[{"id":4007,"href":"https:\/\/workwith.dorple.me\/en\/wp-json\/wp\/v2\/pages\/3927\/revisions\/4007"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/workwith.dorple.me\/en\/wp-json\/wp\/v2\/media\/622"}],"wp:attachment":[{"href":"https:\/\/workwith.dorple.me\/en\/wp-json\/wp\/v2\/media?parent=3927"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}