User　stories　have　been　increasingly　adopted　in　practice　due　to　their　intuitive　structure,　which　specify　users　needs　for　the　software　system　from　their　perspectives.　As　iStar　modeling　framework　also　emphasizes　user　perspectives,　some　of　its　concepts　and　relationships　can　potentially　be　aligned　with　user　stories.　In　this　paper,　we　propose　to　(semi-)　automatically　derive　iStar　models　based　on　user　stories,　with　the　aim　of　facilitating　iStar　modeling　and　promoting　the　practical　adoption　of　iStar　models.　Specifically,　this　paper　focuses　on　investigating　an　appropriate　way　of　balancing　the　manual　and　automatic　analysis　during　the　modeling　process,　based　on　which　we　present　a　visionary　framework.　©　2021　CEUR-WS.　All　rights　reserved.